24.8.6 ATR -- Targets, Radar, SAR Applications

Chapter Contents (Back)
Radar. SAR/K>. ATR.
See also Moving Targets, Radar, Radar Tracking, SAR Applications. PolSAR with other Polarized SAR work:
See also PolSAR, Polarimetric SAR Classification, Targets.

Sharman, D.B., Durrani, T.S.,
Goal Driven Parameter Evaluation for the Detection of Objects in SAR Data,
PRL(5), 1987, pp. 87-94. BibRef 8700

Novak, L.M., Owirka, G.J., and Netishen, C.M.,
Performance of a High-Resolution Polarimetric SAR Automatic Target Recogniton System,
LLJ(6), No. 1 1993, pp. 11-23. SAR. BibRef 9300

Novak, L.M.[Leslie M.], Hesse, S.R.[Steven R.], O
Optimal Polarizations for Radar Detection and Recognition of Targets in Clutter,
SPIE(1700), 1992, pp. 114-118. BibRef 9200

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Recognition of volcanoes on Venus using correlation methods,
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Elsevier DOI 0401
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Earlier: BMVC92(xx-yy).
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Radar based analysis. BibRef

Fogg, D.A.,
Vegetation-Limited Ground-to-Air Surveillance,
GMIP(55), No. 6, November 1993, pp. 419-??. BibRef 9311

Grossberg, S., Mingolla, E., Williamson, J.,
Synthetic-Aperture Radar Processing by a Multiple Scale Neural System for Boundary and Surface Representation,
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Waxman, A.M., Seibert, M.C., Gove, A.N., Fay, D.A., Bernardon, A.M., Lazott, C., Steele, W.R., Cunningham, R.K.,
Neural Processing of Targets in Visible Multispectral IR and SAR Imagery,
NeurNet(8), No. 7-8, 1995, pp. 1029-1051. BibRef 9500

Koch, M.W., Moya, M.M., Hostetler, L.D., Fogler, R.J.,
Cueing, Feature Discovery, and One-Class Learning for Synthetic-Aperture Radar Automatic Target Recognition,
NeurNet(8), No. 7-8, 1995, pp. 1081-1102. BibRef 9500

Bernardon, A.M., Carrick, J.E.,
A Neural System for Automatic Target Learning and Recognition Applied to Bare and Camouflaged SAR Targets,
NeurNet(8), No. 7-8, 1995, pp. 1103-1108. BibRef 9500

Rubin, M.A.,
Application of Fuzzy Artmap and Art-Emap to Automatic Target Recognition Using Radar Range Profiles,
NeurNet(8), No. 7-8, 1995, pp. 1109-1116. BibRef 9500

Kapoor, R., Nandhakumar, N.,
Features for Detecting Obscured Objects in Ultra-Wide-Band (UWB) SAR Imagery Using a Phenomenological Approach,
PR(29), No. 11, November 1996, pp. 1761-1774.
Elsevier DOI 9612
BibRef
Earlier:
A Physics-Based Approach for Detecting Man-Made Objects in Ultra-Wideband SAR Imagery,
PBMCV95(SESSION 2) BibRef

Khan, R.H.,
Target Detection and Tracking with HF Radar Using Reciprocal SAR Techniques,
AeroSysMag(12), No. 1, January 1997, pp. 40-43. 9701
BibRef

Subotic, N.S., Thelen, B.J., Gorman, J.D., Reiley, M.F.,
Multiresolution Detection of Coherent Radar Targets,
IP(6), No. 1, January 1997, pp. 21-35.
IEEE DOI 9703
BibRef
Earlier: A3, A1, A2, Add Collins, L., only: ICIP94(I: 446-450).
IEEE DOI 9411
BibRef

Xu, X.J., Huang, P.K.,
A New RCS Statistical-Model of Radar Targets,
AeroSys(33), No. 2, Part 2, April 1997, pp. 710-714. 9704
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Swerling, P.,
Radar Probability of Detection for Some Additional Fluctuating Target Cases,
AeroSys(33), No. 2, Part 2, April 1997, pp. 698-709. 9704
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Johnston, S.L.,
Target Fluctuation Models for Radar System-Design and Performance Analysis: An Overview of 3 Papers,
AeroSys(33), No. 2, Part 2, April 1997, pp. 696-697. 9704
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Hauter, A.[Andrew], Chang, K.C.[Kuo Chu], Karp, S.[Sherman],
Polarimetric Fusion for Synthetic-Aperture Radar Target Classification,
PR(30), No. 5, May 1997, pp. 769-775.
Elsevier DOI 9705
BibRef

Principe, J.C., Kim, M., Fisher, J.W.,
Target Discrimination in Synthetic Aperture Radar Using Artificial Neural Networks,
IP(7), No. 8, August 1998, pp. 1136-1149.
IEEE DOI 9808
BibRef

Principe, J.C.[Jose C.],
Statistical Independent and Relevant Feature Extraction for Classification of SAR Imagery,
DARPA97(1029-1030). BibRef 9700

Principe, J.C.[Jose C.],
Statistically Independent Feature Extraction for SAR Imagery,
DARPA98(653-658). BibRef 9800

Yen, L.K.[Li-Kang], Principe, J.C.[Jose C.],
Target Detection in UWB SAR Images Using Temporal Fusion,
DARPA97(1155-1160). BibRef 9700

Candocia, F.M.[Frank M.], Principe, J.C.[Jose C.],
A Self-Organizing Principle for Segmenting and Super-Resolving ISAR Images,
DARPA97(1161-1166). BibRef 9700

Boillot, M.[Marc], Principe, J.C.[Jose C.],
An Algorithm Development and Support Database for MSTAR,
DARPA98(821-826). BibRef 9800

Zhao, Q.[Qun], Xu, D.X.[Dong-Xin], Principe, J.C.[Jose C.],
Pose Estimation for SAR Automatic Target Recognition,
DARPA98(827-832). BibRef 9800

Principe, J.C.[Jose C.], Zhao, Q.[Quan], Xu, D.X.[Dong-Xin],
A Novel ATR Classifier Exploiting Pose Estimation,
DARPA98(833-838). BibRef 9800

Moruzzis, M., Colin, N.,
Radar Target Recognition by Fuzzy-Logic,
AeroSysMag(13), No. 7, July 1998, pp. 13-19. 9808
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Huang, D.S.,
Novel Forward-Backward Smoothing-Based Learning Subspace Method for Recognition of Radar Targets,
PRAI(13), No. 1, February 1999, pp. 65. BibRef 9902

Huang, D.S.,
Application of Generalized Radial Basis Function Networks to Recognition of Radar Targets,
PRAI(13), No. 6, September 1999, pp. 945. 0005
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Miller, E.L.,
Statistically Based Methods for Anomaly Characterization in Images from Observations of Scattered Radiation,
IP(8), No. 1, January 1999, pp. 92-101.
IEEE DOI BibRef 9901
Earlier:
A scale-recursive, statistically-based method for anomaly characterization in images based upon observations of scattered radiation,
ICIP95(I: 490-493).
IEEE DOI 9510
BibRef

Runkle, P.[Paul], Carin, L.[Lawrence], Couchman, L.[Luise], Yoder, T.J.[Timothy J.], Bucaro, J.A.[Joseph A.],
Multiaspect Target Identification with Wave-Based Matched Pursuits and Continuous Hidden Markov Models,
PAMI(21), No. 12, December 1999, pp. 1371-1378. 817415 0001
Fuse features from multiple scattered waveforms. BibRef

Runkle, P., Nguyen, L.H., McClellan, J.H., Carin, L.[Lawrence],
Multi-aspect target detection for SAR imagery using hidden Markov models,
GeoRS(39), No. 1, January 2001, pp. 46-55.
IEEE Top Reference. 0104
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Li, L.[Ling], Liu, Z.J.[Zhi-Jun], Dong, X.L.[Xiao-Long], Thompson, J.A., Carin, L.,
Scalable multilevel fast multipole method for multiple targets in the vicinity of a half space,
GeoRS(41), No. 4, April 2003, pp. 791-802.
IEEE Abstract. 0307
BibRef

Zhou, D.Q.[De-Quan], Liu, G.S.[Guo-Sui], Wang, J.X.[Jian-Xin],
Spatio-temporal target identification method of high-range resolution radar,
PR(33), No. 1, January 2000, pp. 1-7.
Elsevier DOI 0005
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Miller, E.L., Kilmer, M.E., Rappaport, C.M.,
A New Shape-Based Method for Object Localization and Characterization from Scattered Field Data,
GeoRS(38), No. 4, July 2000, pp. 16821696.
IEEE Top Reference. 0008
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Hounam, D., Wagel, K.H.,
A technique for the identification and localization of SAR targets using encoding transponders,
GeoRS(39), No. 1, January 2001, pp. 3-7.
IEEE Top Reference. 0104
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Wu, Q.X., North, H.C.,
A multi-scale technique for detecting forest-cover boundary from L-band SAR images,
JRS(22), No. 5, March 2001, pp. 757- 772. 0105
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Huber, R.[Reinhold],
Scene classification of SAR images acquired from antiparallel tracks using evidential and rule-based fusion,
IVC(19), No. 13, November 2001, pp. 1001-1010.
Elsevier DOI 0111
BibRef

Baumgartner, F., Munk, J., Jezek, K.C., Gogineni, S.,
On reconciling ground-based with spaceborne normalized radar cross section measurements,
GeoRS(40), No. 2, February 2002, pp. 494-496.
IEEE Top Reference. 0205
BibRef

Stevens, M.R.[Mark R.], Snorrason, M.S.[Magnús S.],
Automatic target segmentation using PMMW imagery,
IVC(21), No. 7, July 2003, pp. 609-622.
Elsevier DOI 0307
BibRef
Earlier:
Signature Analysis of Targets in PMMW Imagery,
CVBVS01(xx-yy). 0110
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Stevens, M.R., Snorrason, M.S., Amphay, S.,
Automatic target detection using PMMW and LADAR imagery,
ICPR02(II: 647-650).
IEEE DOI 0211
BibRef

Nelson, D.E., Starzyk, J.A., Ensley, D.D.,
Iterated wavelet transformation and signal discrimination for HRR radar target recognition,
SMC-A(33), No. 1, January 2003, pp. 52-57.
IEEE Abstract. 0308
BibRef

Dekker, R.J.,
Texture analysis and classification of ERS SAR images for map updating of urban areas in the Netherlands,
GeoRS(41), No. 9, September 2003, pp. 1950-1958.
IEEE Abstract. 0310
BibRef

Chen, C.T.[Chia-Tang], Chen, K.S.[Kun-Shan], Lee, J.S.[Jong-Sen],
The use of fully polarimetric information for the fuzzy neural classification of SAR images,
GeoRS(41), No. 9, September 2003, pp. 2089-2100.
IEEE Abstract. 0310
BibRef

Souyris, J.C., Henry, C., Adragna, F.,
On the Use of Complex SAR Image Spectral Analysis for Target Detection: Assessment of Polarimetry,
GeoRS(41), No. 12, December 2003, pp. 2725-2734.
IEEE Abstract. 0402
BibRef

Bruzzone, L., Marconcini, M., Wegmuller, U., Wiesmann, A.,
An Advanced System for the Automatic Classification of Multitemporal SAR Images,
GeoRS(42), No. 6, June 2004, pp. 1321-1334.
IEEE Abstract. 0407
BibRef

Deng, H.[Huawu], Clausi, D.A.[David A.],
Unsupervised image segmentation using a simple MRF model with a new implementation scheme,
PR(37), No. 12, December 2004, pp. 2323-2335.
Elsevier DOI 0409
BibRef
Earlier: ICPR04(II: 691-694).
IEEE DOI 0409
BibRef

Nashashibi, A.Y., Ulaby, F.T.,
Detection of Stationary Foliage-Obscured Targets by Polarimetric Millimeter-Wave Radar,
GeoRS(43), No. 1, January 2005, pp. 13-23.
IEEE Abstract. 0501
BibRef

Liu, J.[Jun], Lee, J.P.Y., Li, L.J.[Ling-Jie], Luo, Z.Q.[Zhi-Quan], Wong, K.M.,
Online Clustering Algorithms for Radar Emitter Classification,
PAMI(27), No. 8, August 2005, pp. 1185-1196.
IEEE Abstract. 0506
One is model-based using the Minimum Description Length (MDL) criterion and the other is based on competitive learning. BibRef

Kim, K.T.[Kyung-Tae],
Application of feature space trajectory classifier to identification of multi-aspect radar signals,
PR(38), No. 11, November 2005, pp. 2159-2173.
Elsevier DOI 0509
BibRef

Atto, A.M.[Abdourrahmane M.], Pastor, D.[Dominique], Mercier, G.[Gregoire],
Detection threshold for non-parametric estimation,
SIViP(2), No. 3, September 2008, pp. xx-yy.
Springer DOI 0804
BibRef

Atto, A.M.[Abdourrahmane M.], Pastor, D.[Dominique], Mercier, G.[Grégoire],
Smooth Adaptation by Sigmoid Shrinkage,
JIVP(2009), No. 2009, pp. xx-yy.
DOI Link 1002
BibRef

Atto, A.M.[Abdourrahmane M.], Trouve, E., Berthoumieu, Y., Mercier, G.[Gregoire],
Multidate Divergence Matrices for the Analysis of SAR Image Time Series,
GeoRS(51), No. 4, April 2013, pp. 1922-1938.
IEEE DOI 1304
BibRef

Atto, A.M.[Abdourrahmane M.], Berthoumieu, Y., Bolon, P.,
2-D Wavelet Packet Spectrum for Texture Analysis,
IP(22), No. 6, 2013, pp. 2495-2500.
IEEE DOI 1307
image retrieval; wavelet transforms; Wavelet analysis BibRef

Gao, G.[Gui], Kuang, G.Y.[Gang-Yao], Zhang, Q.[Qi], Li, D.R.[De-Ren],
Fast detecting and locating groups of targets in high-resolution SAR images,
PR(40), No. 4, April 2007, pp. 1378-1384.
Elsevier DOI 0701
Synthetic aperture radar; Target group; Detection; Discrimination; Location BibRef

Tello, M.[Marivi], Lopez-Martinez, C.[Carlos], Mallorqui, J.J.[Jordi J.],
Automatic vessel monitoring with single and multidimensional SAR images in the wavelet domain,
PandRS(61), No. 3-4, December 2006, pp. 260-278.
Elsevier DOI 0703
Vessel monitoring; Synthetic aperture radar; Polarimetry; Time-frequency analysis; Wavelet transform BibRef

Crosby, F.[Frank],
Comparison of directly measured to derived polarization imagery using an adaptive signature detection algorithm,
IVC(25), No. 11, 1 November 2007, pp. 1759-1766.
Elsevier DOI 0709
Polarization; ATR; Maximum Likelihood Test; CFAR BibRef

Frery, A.C.[Alejandro C.], Correia, A.H.[Antonio H.], Freitas, C.D.C.[Corina Da C.],
Classifying Multifrequency Fully Polarimetric Imagery With Multiple Sources of Statistical Evidence and Contextual Information,
GeoRS(45), No. 10, October 2007, pp. 3098-3109.
IEEE DOI 0711
BibRef

Nascimento, A.D.C., Frery, A.C., Cintra, R.J.,
Detecting Changes in Fully Polarimetric SAR Imagery With Statistical Information Theory,
GeoRS(57), No. 3, March 2019, pp. 1380-1392.
IEEE DOI 1903
covariance matrices, entropy, Hermitian matrices, maximum likelihood estimation, radar imaging, radar polarimetry, Wishart BibRef

de Grandi, G.D., Lee, J.S., Schuler, D.L.,
Target Detection and Texture Segmentation in Polarimetric SAR Images Using a Wavelet Frame: Theoretical Aspects,
GeoRS(45), No. 11, November 2007, pp. 3437-3453.
IEEE DOI 0709
BibRef

Liang, Q.L.[Qi-Lian],
Automatic target recognition using waveform diversity in radar sensor networks,
PRL(29), No. 3, 1 February 2008, pp. 377-381.
Elsevier DOI 0801
Radar sensor networks; Waveform diversity; Automatic target recognition; Maximum-likelihood; Interferences; Ambiguity function BibRef

Gil-Pita, R., Rosa-Zurera, M., Vicen-Bueno, R., Lopez Ferreras, F.,
Maximum Position Alignment Method for Noisy High-Resolution Radar Target Classification,
SPLetters(15), No. 1, January 2008, pp. 120-123.
IEEE DOI 0801
BibRef

Du, C., Thompson, J.S., Petillot, Y.,
Predicted Detection Performance of MIMO Radar,
SPLetters(15), No. 1, January 2008, pp. 83-86.
IEEE DOI 0801
BibRef

Messali, Z., Soltani, F., Sahmoudi, M.,
Robust radar detection of CA, GO and SO CFAR in Pearson measurements based on a non linear compression procedure for clutter reduction,
SIViP(2), No. 2, June 2008, pp. xx-yy.
Springer DOI 0711
BibRef

Gini, F.[Fulvio], Rangaswamy, M.[Muralidhar],
Knowledge Based Radar Detection, Tracking and Classification,
Wiley-IEEEMay 2008. ISBN: 978-0-470-14930-0
HTML Version. Buy this book: Knowledge Based Radar Detection, Tracking and Classification (Adaptive and Learning Systems for Signal Processing, Communications and Control Series) 0905
BibRef

Gao, G., Liu, L., Zhao, L., Shi, G., Kuang, G.,
An Adaptive and Fast CFAR Algorithm Based on Automatic Censoring for Target Detection in High-Resolution SAR Images,
GeoRS(47), No. 6, June 2009, pp. 1685-1697.
IEEE DOI 0905
BibRef

Ainsworth, T.L., Kelly, J.P., Lee, J.S.,
Classification comparisons between dual-pol, compact polarimetric and quad-pol SAR imagery,
PandRS(64), No. 5, September 2009, pp. 464-471.
Elsevier DOI 0910
Remote sensing; SAR; Classification BibRef

He, Q., Blum, R.S.,
Cramer-Rao Bound for MIMO Radar Target Localization With Phase Errors,
SPLetters(17), No. 1, January 2010, pp. 83-86.
IEEE DOI 0911
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Dungan, K.E., Potter, L.C.,
Classifying transformation-variant attributed point patterns,
PR(43), No. 11, November 2010, pp. 3805-3816.
Elsevier DOI 1008
Point pattern matching; Hausdorff distance; SAR; Multidimensional scaling; Fingerprint BibRef

Gao, G.,
An Improved Scheme for Target Discrimination in High-Resolution SAR Images,
GeoRS(49), No. 1, January 2011, pp. 277-294.
IEEE DOI 1101
BibRef
And: Correction: GeoRS(52), No. 5, May 2014, pp. 3035-3035.
IEEE DOI 1403
BibRef

Bian, Y., Mercer, B.[Bryan],
Interferometric SAR Phase Filtering in the Wavelet Domain Using Simultaneous Detection and Estimation,
GeoRS(49), No. 4, April 2011, pp. 1396-1416.
IEEE DOI 1104
BibRef

Livanos, G., Zervakis, M., Giakos, G.C., Valluru, K., Paturi, S., Marotta, S.,
Modelling the characteristics of material distributions in polarimetric images,
IET-IPR(5), No. 5, 2011, pp. 429-439.
DOI Link 1108
BibRef

Zhou, J.X.[Jian-Xiong], Shi, Z.G.[Zhi-Guang], Cheng, X.[Xiao], Fu, Q.[Qiang],
Automatic Target Recognition of SAR Images Based on Global Scattering Center Model,
GeoRS(49), No. 10, October 2011, pp. 3713-3729.
IEEE DOI 1110
BibRef

Zhou, J.X.[Jian-Xiong], Shi, Z.G.[Zhi-Guang], Fu, Q.[Qiang],
Three-Dimensional Scattering Center Extraction Based on Wide Aperture Data at a Single Elevation,
GeoRS(53), No. 3, March 2015, pp. 1638-1655.
IEEE DOI 1402
backscatter BibRef

Sánchez-Lladó, F.J.[Francisco J.], Pajares, G.[Gonzalo], López-Martínez, C.[Carlos],
Improving the Wishart Synthetic Aperture Radar image classifications through Deterministic Simulated Annealing,
PandRS(66), No. 6, November 2011, pp. 845-857.
Elsevier DOI 1112
Synthetic Aperture Radar (SAR); Polarization; Classification; Deterministic Simulated Annealing; Wishart classifier BibRef

Pajares, G.[Gonzalo], Sánchez-Lladó, J.[Javier], López-Martínez, C.[Carlos],
Fuzzy Cognitive Maps Applied to Synthetic Aperture Radar Image Classifications,
ACIVS11(103-114).
Springer DOI 1108
BibRef

Ye, W., Paulson, C., Wu, D.,
Target detection for very high-frequency synthetic aperture radar ground surveillance,
IET-CV(6), No. 2, 2012, pp. 101-110.
DOI Link 1204
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Goel, K., Adam, N.,
Three-Dimensional Positioning of Point Scatterers Based on Radargrammetry,
GeoRS(50), No. 6, June 2012, pp. 2355-2363.
IEEE DOI 1205
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Kiranyaz, S.[Serkan], Ince, T.[Turker], Uhlmann, S.[Stefan], Gabbouj, M.[Moncef],
Collective Network of Binary Classifier Framework for Polarimetric SAR Image Classification: An Evolutionary Approach,
SMC-B(42), No. 4, August 2012, pp. 1169-1186.
IEEE DOI 1208
BibRef
Earlier: A3, A1, A4, A2:
Incremental evolution of collective network of binary classifier for polarimetric SAR image classification,
ICIP11(177-180).
IEEE DOI 1201
BibRef

Uhlmann, S.[Stefan], Kiranyaz, S.[Serkan], Gabbouj, M.[Moncef],
Semi-Supervised Learning for Ill-Posed Polarimetric SAR Classification,
RS(6), No. 6, 2014, pp. 4801-4830.
DOI Link 1407
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Uhlmann, S.[Stefan], Kiranyaz, S.[Serkan],
Integrating Color Features in Polarimetric SAR Image Classification,
GeoRS(52), No. 4, April 2014, pp. 2197-2216.
IEEE DOI 1403
data visualisation BibRef

Ahishali, M.[Mete], Kiranyaz, S.[Serkan], Ince, T.[Turker], Gabbouj, M.[Moncef],
Dual and Single Polarized SAR Image Classification Using Compact Convolutional Neural Networks,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
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Ince, T.[Turker], Kiranyaz, S.[Serkan], Gabbouj, M.[Moncef],
Classification of Polarimetric SAR Images Using Evolutionary RBF Networks,
ICPR10(4324-4327).
IEEE DOI 1008
BibRef

Zhou, D.Y.[Dai-Ying], Shen, X.F.[Xiao-Feng], Yang, W.L.[Wan-Lin],
Radar target recognition based on fuzzy optimal transformation using high-resolution range profile,
PRL(34), No. 3, 1 February 2013, pp. 256-264.
Elsevier DOI 1301
Radar target recognition; HRRP; Fuzzy optimal transformation; Optimal congregating centers BibRef

Kayabol, K.[Koray], Zerubia, J.B.[Josiane B.],
Unsupervised Amplitude and Texture Classification of SAR Images With Multinomial Latent Model,
IP(22), No. 2, February 2013, pp. 561-572.
IEEE DOI 1302
BibRef

Kayabol, K.[Koray], Voisin, A.[Aurelie], Zerubia, J.B.[Josiane B.],
SAR image classification with non-stationary Multinomial Logistic mixture of amplitude and texture densities,
ICIP11(169-172).
IEEE DOI 1201
BibRef

Aytekin, Ö.[Örsan], Koc, M., Ulusoy, I.[Ilkay],
Local Primitive Pattern for the Classification of SAR Images,
GeoRS(51), No. 4, April 2013, pp. 2431-2441.
IEEE DOI 1304
BibRef

Nashashibi, A.Y., Sarabandi, K., Al-Zaid, F.A., Alhumaidi, S.,
An Empirical Model of Volume Scattering From Dry Sand-Covered Surfaces at Millimeter-Wave Frequencies,
GeoRS(51), No. 6, 2013, pp. 3673-3682.
IEEE DOI 1307
radar polarimetry BibRef

Fuller, D.F., Saville, M.A.,
A High-Frequency Multipeak Model for Wide-Angle SAR Imagery,
GeoRS(51), No. 7, 2013, pp. 4279-4291.
IEEE DOI 1307
joint frequency-polarization scatter classification BibRef

Plank, S.[Simon], Singer, J.[John], Thuro, K.[Kurosch],
Assessment of number and distribution of persistent scatterers prior to radar acquisition using open access land cover and topographical data,
PandRS(85), No. 1, 2013, pp. 132-147.
Elsevier DOI 1310
Radar BibRef

Rogers, G.W., Rais, H., Cameron, W.L.,
Polarimetric SAR Signature Detection Using the Cameron Decomposition,
GeoRS(52), No. 1, January 2014, pp. 690-700.
IEEE DOI 1402
S-matrix theory BibRef

Wang, J.Q.[Jian-Qiao], Li, Y.H.[Yue-Hua], Chen, J.F.[Jian-Fei],
Local Reconstruction Error Alignment: A Fast Unsupervised Feature Selection Algorithm for Radar Target Clustering,
IEICE(E97-D), No. 2, February 2013, pp. 357-360.
WWW Link. 1402
BibRef

Dong, G., Wang, N., Kuang, G.,
Sparse Representation of Monogenic Signal: With Application to Target Recognition in SAR Images,
SPLetters(21), No. 8, August 2014, pp. 952-956.
IEEE DOI 1406
Manifolds BibRef

Amoon, M., Rezai-Rad, G.,
Automatic target recognition of synthetic aperture radar (SAR) images based on optimal selection of Zernike moments features,
IET-CV(8), No. 2, April 2014, pp. 77-85.
DOI Link 1407
computational complexity BibRef

Zhang, X.W., Li, M., Zuo, L., Wu, Y., Zhang, P.,
Compressed Sensing Detector for Wideband Radar Using the Dominant Scatterer,
SPLetters(21), No. 10, October 2014, pp. 1275-1279.
IEEE DOI 1407
Detectors BibRef

Coluccia, A., Ricci, G.,
A Tunable W-ABORT-Like Detector with Improved Detection vs Rejection Capabilities Trade-Off,
SPLetters(22), No. 6, June 2015, pp. 713-717.
IEEE DOI 1411
Approximation methods radar detection of point-like targets. BibRef

Cherouat, S.[Soumeya], Soltani, F.[Faouzi], Schmitt, F.[Françoise], Daout, F.[Franck],
Using fractal dimension to target detection in bistatic SAR data,
SIViP(9), No. 2, February 2015, pp. 365-371.
Springer DOI 1503
BibRef

Anghel, A., Vasile, G., Cacoveanu, R., Ioana, C., Ciochina, S., Ovarlez, J.P.,
Scattering Centers Detection and Tracking in Refocused Spaceborne SAR Images for Infrastructure Monitoring,
GeoRS(53), No. 8, August 2015, pp. 4379-4393.
IEEE DOI 1506
geophysical techniques BibRef

Chen, K.[Kun], Li, Y.[Yuehua], Xu, X.J.[Xing-Jian], Li, Y.J.[Yuan-Jiang],
A Modified AdaBoost Algorithm with New Discrimination Features for High-Resolution SAR Targets Recognition,
IEICE(E98-D), No. 10, October 2015, pp. 1871-1874.
WWW Link. 1511
BibRef

Romeiser, R., Graber, H.C.,
Advanced Remote Sensing of Internal Waves by Spaceborne Along-Track InSAR: A Demonstration With TerraSAR-X,
GeoRS(53), No. 12, December 2015, pp. 6735-6751.
IEEE DOI 1512
remote sensing by radar BibRef

Noroozi, A., Sebt, M.A.,
Target Localization from Bistatic Range Measurements in Multi-Transmitter Multi-Receiver Passive Radar,
SPLetters(22), No. 12, December 2015, pp. 2445-2449.
IEEE DOI 1512
least squares approximations BibRef

Noroozi, A., Oveis, A.H., Sebt, M.A.,
Iterative Target Localization in Distributed MIMO Radar From Bistatic Range Measurements,
SPLetters(24), No. 11, November 2017, pp. 1709-1713.
IEEE DOI 1710
Antenna measurements, Iterative methods, MIMO radar, Bistatic range (BR), BibRef

Liu, F.[Fang], Duan, Y.P.[Yi-Ping], Li, L., Jiao, L.C.[Li-Cheng], Wu, J., Yang, S., Zhang, X., Yuan, J.,
SAR Image Segmentation Based on Hierarchical Visual Semantic and Adaptive Neighborhood Multinomial Latent Model,
GeoRS(54), No. 7, July 2016, pp. 4287-4301.
IEEE DOI 1606
Adaptation models BibRef

Duan, Y.P.[Yi-Ping], Liu, F.[Fang], Jiao, L.C.[Li-Cheng], Tao, X.M.[Xiao-Ming], Wu, J.[Jie], Shi, C.[Cheng], Wimmers, M.O.[Martin Onno],
Adaptive Hierarchical Multinomial Latent Model With Hybrid Kernel Function for SAR Image Semantic Segmentation,
GeoRS(56), No. 10, October 2018, pp. 5997-6015.
IEEE DOI 1810
Image segmentation, Synthetic aperture radar, Kernel, Semantics, Adaptation models, Feature extraction, Context modeling, SAR sketch map BibRef

Han, C.Y.[Chao-Yi], Tao, X.M.[Xiao-Ming], Duan, Y.P.[Yi-Ping], Lu, J.H.[Jian-Hua],
Dense Convolution for Semantic Segmentation,
ICIP18(2222-2226)
IEEE DOI 1809
BibRef
And: A3, A2, A1, A4:
Semantic Conditional Random Field for Object Based SAR Image Segmentation,
ICIP18(2625-2629)
IEEE DOI 1809
Convolution, Semantics, Standards, Training, Kernel, Task analysis, dense convolution. Image segmentation, Synthetic aperture radar, Kernel, Adaptation models, Labeling, SAR image, hierarchical semantic model BibRef

Duan, Y.P.[Yi-Ping], Liu, F.[Fang], Jiao, L.C.[Li-Cheng], Zhao, P.[Peng], Zhang, L.[Lu],
SAR Image segmentation based on convolutional-wavelet neural network and markov random field,
PR(64), No. 1, 2017, pp. 255-267.
Elsevier DOI 1701
Convolutional Neural Network BibRef

Chen, S., Wang, H., Xu, F., Jin, Y.Q.,
Target Classification Using the Deep Convolutional Networks for SAR Images,
GeoRS(54), No. 8, August 2016, pp. 4806-4817.
IEEE DOI 1608
geophysical image processing BibRef

Raj, N.[Nithin], Sethunadh, R., Aparna, P.R.,
Object detection in SAR image based on bandlet transform,
JVCIR(40, Part A), No. 1, 2016, pp. 376-383.
Elsevier DOI 1609
Geometrical transforms BibRef

Feng, B.[Bo], Chen, B.[Bo], Liu, H.W.[Hong-Wei],
Radar HRRP target recognition with deep networks,
PR(61), No. 1, 2017, pp. 379-393.
Elsevier DOI 1705
Radar automatic target recognition (RATR) High-resolution range profile (HRRP). BibRef

Amiri, R.[Rouhollah], Behnia, F.[Fereidoon], Zamani, H.[Hojatollah],
Asymptotically Efficient Target Localization From Bistatic Range Measurements in Distributed MIMO Radars,
SPLetters(24), No. 3, March 2017, pp. 299-303.
IEEE DOI 1702
Covariance matrices BibRef

Kazemi, S.A.R.[Seyed Amir Reza], Amiri, R.[Rouhollah],
Efficient Joint Localization and Synchronization in Distributed MIMO Radars,
SPLetters(27), 2020, pp. 1200-1204.
IEEE DOI 2007
Target localization, synchronization, multiple-input multiple-output (MIMO) radar, weighted least squares (WLS) estimation BibRef

Radmard, M.[Mojtaba], Bayat, S.[Siavash], Farina, A.[Alfonso], Hajsadeghian, S.[Soleiman], Nayebi, M.M.[Mohammad Mahdi],
Catching the high altitude invisible by satellite-based forward scatter PCL,
SIViP(11), No. 3, March 2017, pp. 565-572.
Springer DOI 1702
study on using satellite signal for passive radar application. BibRef

Arivazhagan, S., Priyadharshini, R.A.[R. Ahila], Sangeetha, L.,
Automatic target recognition in SAR images using quaternion wavelet transform and principal component analysis,
IJCVR(7), No. 3, 2017, pp. 314-334.
DOI Link 1704
BibRef

Xiang, Y.M.[Yu-Ming], Wang, F.[Feng], Wan, L.[Ling], You, H.J.[Hong-Jian],
SAR-PC: Edge Detection in SAR Images via an Advanced Phase Congruency Model,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link 1704
BibRef

Xiang, Y.M.[Yu-Ming], Wang, F.[Feng], Wan, L.[Ling], You, H.J.[Hong-Jian],
An Advanced Rotation Invariant Descriptor for SAR Image Registration,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Xiang, Y.M.[Yu-Ming], Wang, F.[Feng], You, H.J.[Hong-Jian],
OS-SIFT: A Robust SIFT-Like Algorithm for High-Resolution Optical-to-SAR Image Registration in Suburban Areas,
GeoRS(56), No. 6, June 2018, pp. 3078-3090.
IEEE DOI 1806
Adaptive optics, Feature extraction, Geometrical optics, Optical distortion, Optical imaging, Optical sensors, synthetic aperture radar (SAR) BibRef

Nitti, D.O.[Davide Oscar], Morea, A.[Alberto], Nutricato, R.[Raffaele], Chiaradia, M.T.[Maria Teresa], La Mantia, C.[Claudio], Agrimano, L.[Luigi], Samarelli, S.[Sergio],
Automatic identification of ground control points in synthetic aperture radar images,
SPIE(Newsroom), March 10, 2017
DOI Link 1704
A new robust tool for estimating the 3D position of targets with sub-metric accuracy has been successfully tested on remotely sensed satellite data. BibRef

Dong, G., Kuang, G., Wang, N., Wang, W.,
Classification via Sparse Representation of Steerable Wavelet Frames on Grassmann Manifold: Application to Target Recognition in SAR Image,
IP(26), No. 6, June 2017, pp. 2892-2904.
IEEE DOI 1705
Kernel, Manifolds, Synthetic aperture radar, Target recognition, Training, Wavelet transforms, Grassmann manifold, Hilbert space, Riesz transform, SAR, sparse representation, steerable wavelet, target, recognition BibRef

He, C.[Chu], Liu, X.L.[Xin-Long], Kang, C.Y.[Chen-Yao], Chen, D.[Dong], Liao, M.S.[Ming-Sheng],
Attribute Learning for SAR Image Classification,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link 1705
BibRef

Bi, H., Zhang, B., Zhu, X.X., Hong, W., Sun, J., Wu, Y.,
L_1 -Regularization-Based SAR Imaging and CFAR Detection via Complex Approximated Message Passing,
GeoRS(55), No. 6, June 2017, pp. 3426-3440.
IEEE DOI 1706
Image reconstruction, Imaging, Radar imaging, Radar polarimetry, Signal processing algorithms, Synthetic aperture radar, L1 regularization, Lasso, complex approximated message passing (CAMP), constant false alarm rate (CFAR) detection, synthetic, aperture, radar, (SAR) BibRef

Bi, H.[Hui], Bi, G.[Guoan], Zhang, B.C.[Bing-Chen], Hong, W.[Wen],
Complex-Image-Based Sparse SAR Imaging and its Equivalence,
GeoRS(56), No. 9, September 2018, pp. 5006-5014.
IEEE DOI 1809
Radar polarimetry, Sparse matrices, Imaging, Synthetic aperture radar, Radar imaging, Image reconstruction, sparse synthetic aperture radar (SAR) imaging BibRef

Song, C.[Chen], Deng, J.R.[Jia-Rui], Liu, Z.[Zehao], Wang, B.N.[Bing-Nan], Wu, Y.R.[Yi-Rong], Bi, H.[Hui],
Complex-Valued Sparse SAR-Image-Based Target Detection and Classification,
RS(14), No. 17, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Bi, H.[Hui], Zhang, B.C.[Bing-Chen], Zhu, X.X., Jiang, C., Hong, W.,
Extended Chirp Scaling-Baseband Azimuth Scaling-Based Azimuth: Range Decouple L_1 Regularization for TOPS SAR Imaging via CAMP,
GeoRS(55), No. 7, July 2017, pp. 3748-3763.
IEEE DOI 1706
Azimuth, Chirp, Image reconstruction, Imaging, Radar polarimetry, Signal processing algorithms, Synthetic aperture radar, L1 regularization, azimuth-range decouple, baseband azimuth scaling (BAS), complex approximated message passing (CAMP), extended chirp scaling (ECS), synthetic aperture radar (SAR), terrain, observation, by, progressive, scans, (TOPS) BibRef

del-Rey-Maestre, N.[Nerea], Mata-Moya, D.[David], Jarabo-Amores, M.P.[Maria-Pilar], Gómez-del-Hoyo, P.J.[Pedro-Jose], Bárcena-Humanes, J.L.[Jose-Luis], Rosado-Sanz, J.[Javier],
Passive Radar Array Processing with Non-Uniform Linear Arrays for Ground Target's Detection and Localization,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Toporkov, J.V.,
A Theoretical Study of Velocity SAR Imaging of a Moving, Nonstationary Scene,
GeoRS(55), No. 9, September 2017, pp. 4972-4988.
IEEE DOI 1709
image motion analysis, radar imaging, motion-induced imaging distortions, sea surface. BibRef

He, C.[Chu], Tu, M.X.[Ming-Xia], Liu, X.L.[Xin-Long], Xiong, D.[Dehui], Liao, M.S.[Ming-Sheng],
Mixture Statistical Distribution Based Multiple Component Model for Target Detection in High Resolution SAR Imagery,
IJGI(6), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

He, C.[Chu], Tu, M.X.[Ming-Xia], Xiong, D.[Dehui], Tu, F.[Feng], Liao, M.S.[Ming-Sheng],
A Component-Based Multi-Layer Parallel Network for Airplane Detection in SAR Imagery,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

He, C.[Chu], He, B.[Bokun], Liu, X.L.[Xin-Long], Kang, C.Y.[Chen-Yao], Liao, M.S.[Ming-Sheng],
Statistics Learning Network Based on the Quadratic Form for SAR Image Classification,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef
Earlier: A3, A2, A1, Only:
Lifting Scheme Based Deep Network Model for Remote Sensing Imagery Classification,
ICPR18(688-693)
IEEE DOI 1812
Remote sensing, Computational modeling, Synthetic aperture radar, Task analysis, Standards, Signal to noise ratio BibRef

He, C.[Chu], Shi, Z.S.[Zi-Shan], Qu, T.[Tao], Wang, D.W.[Ding-Wen], Liao, M.S.[Ming-Sheng],
Lifting Scheme-Based Deep Neural Network for Remote Sensing Scene Classification,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

He, C.[Chu], Liu, X.L.[Xin-Long], Feng, D.[Di], Shi, B.[Bo], Luo, B.[Bin], Liao, M.S.[Ming-Sheng],
Hierarchical Terrain Classification Based on Multilayer Bayesian Network and Conditional Random Field,
RS(9), No. 1, 2017, pp. xx-yy.
DOI Link 1702
BibRef

Huang, Z.L.[Zhong-Ling], Pan, Z.X.[Zong-Xu], Lei, B.[Bin],
Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data,
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Ding, B.Y.[Bai-Yuan], Wen, G.J.[Gong-Jian],
Exploiting Multi-View SAR Images for Robust Target Recognition,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Ding, B.Y.[Bai-Yuan], Wen, G.J.[Gong-Jian],
Target Reconstruction Based on 3-D Scattering Center Model for Robust SAR ATR,
GeoRS(56), No. 7, July 2018, pp. 3772-3785.
IEEE DOI 1807
Image reconstruction, Predictive models, Robustness, Scattering, Solid modeling, Synthetic aperture radar, Target recognition, synthetic aperture radar (SAR) BibRef

Zhao, W.[Wei], Li, J.[Jiayu], Yang, X.Q.[Xue-Qing], Peng, Q.C.[Qi-Chao], Wang, J.[Jun],
Innovative CFAR detector with effective parameter estimation method for generalised gamma distribution and iterative sliding window strategy,
IET-IPR(12), No. 1, January 2018, pp. 60-69.
DOI Link 1712
SAR data. Constant false alarm ratio. BibRef

Zhao, B., Huang, L., Li, J., Zhang, P.,
Target Reconstruction From Deceptively Jammed Single-Channel SAR,
GeoRS(56), No. 1, January 2018, pp. 152-167.
IEEE DOI 1801
Azimuth, Doppler effect, Image reconstruction, Image resolution, Jamming, Signal resolution, Synthetic aperture radar, synthetic aperture radar (SAR) BibRef

Chang, M.[Ming], You, X.[Xuqun],
Target Recognition in SAR Images Based on Information-Decoupled Representation,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Dang, S.H.[Si-Hang], Cui, Z.Y.[Zong-Yong], Cao, Z.J.[Zong-Jie], Liu, N.Y.[Neng-Yuan],
SAR Target Recognition via Incremental Nonnegative Matrix Factorization,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Yu, M.T.[Mei-Ting], Dong, G.G.[Gang-Gang], Fan, H.Y.[Hai-Yan], Kuang, G.Y.[Gang-Yao],
SAR Target Recognition via Local Sparse Representation of Multi-Manifold Regularized Low-Rank Approximation,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Ding, B.Y.[Bai-Yuan], Wen, G.J.[Gong-Jian],
Sparsity constraint nearest subspace classifier for target recognition of SAR images,
JVCIR(52), 2018, pp. 170-176.
Elsevier DOI 1804
Synthetic aperture radar (SAR), Target recognition, Sparsity constraint nearest subspace classifier (SNSC), Sparse representation based classification (SRC) BibRef

Liu, M., Chen, S., Wu, J., Lu, F., Wang, X., Xing, M.,
SAR Target Configuration Recognition via Two-Stage Sparse Structure Representation,
GeoRS(56), No. 4, April 2018, pp. 2220-2232.
IEEE DOI 1804
Image reconstruction, Manifolds, Signal processing algorithms, Synthetic aperture radar, Target recognition, Testing, Training, target configuration recognition BibRef

Pei, J.F.[Ji-Fang], Huang, Y.L.[Yu-Lin], Huo, W.B.[Wei-Bo], Zhang, Y.[Yin], Yang, J.Y.[Jian-Yu], Yeo, T.S.[Tat-Soon],
SAR Automatic Target Recognition Based on Multiview Deep Learning Framework,
GeoRS(56), No. 4, April 2018, pp. 2196-2210.
IEEE DOI 1804
Feature extraction, Image recognition, Machine learning, Neural networks, Synthetic aperture radar, Target recognition, synthetic aperture radar (SAR) BibRef

Pei, J.F.[Ji-Fang], Huo, W.B.[Wei-Bo], Wang, C.W.[Chen-Wei], Huang, Y.L.[Yu-Lin], Zhang, Y.[Yin], Wu, J.J.[Jun-Jie], Yang, J.Y.[Jian-Yu],
Multiview Deep Feature Learning Network for SAR Automatic Target Recognition,
RS(13), No. 8, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Pei, J.F.[Ji-Fang], Wang, Z.Y.[Zhi-Yong], Sun, X.P.[Xue-Ping], Huo, W.B.[Wei-Bo], Zhang, Y.[Yin], Huang, Y.L.[Yu-Lin], Wu, J.J.[Jun-Jie], Yang, J.Y.[Jian-Yu],
FEF-Net: A Deep Learning Approach to Multiview SAR Image Target Recognition,
RS(13), No. 17, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Wang, H.P.[Hai-Peng], Li, S.[Suo], Zhou, Y.[Yu], Chen, S.Z.[Si-Zhe],
SAR Automatic Target Recognition Using a Roto-Translational Invariant Wavelet-Scattering Convolution Network,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Zhou, Z.[Zhi], Wang, M.[Ming], Cao, Z.J.[Zong-Jie], Pi, Y.M.[Yi-Ming],
SAR Image Recognition with Monogenic Scale Selection-Based Weighted Multi-task Joint Sparse Representation,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link 1805
BibRef

Guan, D.D.[Dong-Dong], Tang, X.A.[Xiao-An], Wang, L.[Li], Zhang, J.[Junda],
Extreme Learning Machine with Superpixel-Guided Composite Kernels for SAR Image Classification,
IEICE(E101-D), No. 6, June 2018, pp. 1703-1706.
WWW Link. 1806
BibRef

i Jiang, C.J.[Chuan-Jin], Zhou, Y.[Yuan],
Hierarchical Fusion of Convolutional Neural Networks and Attributed Scattering Centers with Application to Robust SAR ATR,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
BibRef

Karine, A.[Ayoub], Toumi, A.[Abdelmalek], Khenchaf, A.[Ali], El-Hassouni, M.[Mohammed],
Radar Target Recognition Using Salient Keypoint Descriptors and Multitask Sparse Representation,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link 1806
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Wang, H.M.[Hong-Mei], Shi, J.Y.[Jia-Yi],
SAR image segmentation algorithm based on Contourlet domain AFMRF model,
IET-IPR(12), No. 7, July 2018, pp. 1124-1130.
DOI Link 1806
Combining the advantage of Contourlet transform with adaptive fuzzy Markov random field (MRF) model. BibRef

Zhao, P.F.[Peng-Fei], Liu, K.[Kai], Zou, H.[Hao], Zhen, X.T.[Xian-Tong],
Multi-Stream Convolutional Neural Network for SAR Automatic Target Recognition,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link 1810
BibRef

Ding, B., Wen, G., Ma, C., Yang, X.,
An Efficient and Robust Framework for SAR Target Recognition by Hierarchically Fusing Global and Local Features,
IP(27), No. 12, December 2018, pp. 5983-5995.
IEEE DOI 1810
feature extraction, image classification, image matching, image representation, radar imaging, radar target recognition, hierarchical fusion BibRef

Pei, J., Huang, Y., Sun, Z., Zhang, Y., Yang, J., Yeo, T.,
Multiview Synthetic Aperture Radar Automatic Target Recognition Optimization: Modeling and Implementation,
GeoRS(56), No. 11, November 2018, pp. 6425-6439.
IEEE DOI 1811
Synthetic aperture radar, Optimization, Image recognition, Target recognition, Reconnaissance, Geometry, Imaging, synthetic aperture radar (SAR) BibRef

Chen, H.Y.[Hong-Yi], Zhang, F.[Fan], Tang, B.[Bo], Yin, Q.A.[Qi-Ang], Sun, X.[Xian],
Slim and Efficient Neural Network Design for Resource-Constrained SAR Target Recognition,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
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Dheenathayalan, P., Small, D., Hanssen, R.F.,
3-D Positioning and Target Association for Medium-Resolution SAR Sensors,
GeoRS(56), No. 11, November 2018, pp. 6841-6853.
IEEE DOI 1811
Radar imaging, Azimuth, Synthetic aperture radar, Radar scattering, Spaceborne radar, Timing, 3-D accuracy, ENVISAT, error ellipsoid, target association BibRef

Chen, J.[Jian], Du, L.[Lan], He, H.[Hua], Guo, Y.C.[Yu-Chen],
Convolutional factor analysis model with application to radar automatic target recognition,
PR(87), 2019, pp. 140-156.
Elsevier DOI 1812
Convolutional factor analysis (CFA), Dictionary learning, Radar automatic target recognition (RATR), Variational Bayesian (VB) BibRef

Zhou, F.[Feng], Wang, L.[Li], Bai, X.[Xueru], Hui, Y.[Ye],
SAR ATR of Ground Vehicles Based on LM-BN-CNN,
GeoRS(56), No. 12, December 2018, pp. 7282-7293.
IEEE DOI 1812
Synthetic aperture radar, Clutter, Feature extraction, Target recognition, Morphological operations, Training, synthetic aperture radar (SAR) BibRef

Wang, L.[Li], Bai, X.[Xueru], Zhou, F.[Feng],
SAR ATR of Ground Vehicles Based on ESENet,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
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Yang, H.Y.[Hai-Yi], Cao, Z.J.[Zong-Jie], Cui, Z.Y.[Zong-Yong], Pi, Y.M.[Yi-Ming],
Saliency detection of targets in polarimetric SAR images based on globally weighted perturbation filters,
PandRS(147), 2019, pp. 65-79.
Elsevier DOI 1901
Saliency detection, Polarimetric synthetic aperture radar, Geometrical perturbation filter, Sparse spatial correlation BibRef

Ma, Y.L.[Yi-Lu], Ye, Z.H.[Zhi-Hui], Li, Y.H.[Yue-Hua],
Millimeter-Wave Radar Target Recognition Algorithm Based on Collaborative Auto-Encoder,
IEICE(E102-D), No. 1, January 2019, pp. 202-205.
WWW Link. 1901
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Shi, X.R.[Xiao-Ran], Zhou, F.[Feng], Yang, S.[Shuang], Zhang, Z.J.[Zi-Jing], Su, T.[Tao],
Automatic Target Recognition for Synthetic Aperture Radar Images Based on Super-Resolution Generative Adversarial Network and Deep Convolutional Neural Network,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Wang, L.[Li], Bai, X.[Xueru], Gong, C.[Chen], Zhou, F.[Feng],
Hybrid Inference Network for Few-Shot SAR Automatic Target Recognition,
GeoRS(59), No. 11, November 2021, pp. 9257-9269.
IEEE DOI 2111
Training, Synthetic aperture radar, Target recognition, Task analysis, Radar polarimetry, Manifolds, Feature extraction, synthetic aperture radar (SAR) BibRef

Yang, M.J.[Min-Jia], Bai, X.[Xueru], Wang, L.[Li], Zhou, F.[Feng],
HENC: Hierarchical Embedding Network With Center Calibration for Few-Shot Fine-Grained SAR Target Classification,
IP(32), 2023, pp. 3324-3337.
IEEE DOI 2307
Feature extraction, Training, Task analysis, Radar polarimetry, Calibration, Visualization, Synthetic aperture radar, fine-grained classification BibRef

Bai, X.R.[Xue-Ru], Xue, R.H.[Rui-Hang], Wang, L.[Li], Zhou, F.[Feng],
Sequence SAR Image Classification Based on Bidirectional Convolution-Recurrent Network,
GeoRS(57), No. 11, November 2019, pp. 9223-9235.
IEEE DOI 1911
Feature extraction, Synthetic aperture radar, Radar polarimetry, Convolution, Periodic structures, Image sequences, Kernel, target classification BibRef

Fan, W.W.[Wei-Wei], Zhou, F.[Feng], Tao, M.L.[Ming-Liang], Bai, X.[Xueru], Rong, P.[Pengshuai], Yang, S.[Shuang], Tian, T.[Tian],
Interference Mitigation for Synthetic Aperture Radar Based on Deep Residual Network,
RS(11), No. 14, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Ma, Y.[Yilu], Li, Y.H.[Yue-Hua],
Millimeter-Wave InSAR Target Recognition with Deep Convolutional Neural Network,
IEICE(E102-D), No. 3, March 2019, pp. 655-658.
WWW Link. 1904
BibRef

Zhou, Z.[Zhi], Cao, Z.J.[Zong-Jie], Pi, Y.M.[Yi-Ming],
Subdictionary-Based Joint Sparse Representation for SAR Target Recognition Using Multilevel Reconstruction,
GeoRS(57), No. 9, September 2019, pp. 6877-6887.
IEEE DOI 1909
Scattering, Image reconstruction, Radar polarimetry, Synthetic aperture radar, Feature extraction, Solid modeling, subdictionary BibRef

Dong, G.G.[Gang-Gang], Liu, H.W.[Hong-Wei], Kuang, G.Y.[Gang-Yao], Chanussot, J.[Jocelyn],
Target recognition in SAR images via sparse representation in the frequency domain,
PR(96), 2019, pp. 106972.
Elsevier DOI 1909
Sparse representation, Transformed domain, Target recognition BibRef

Liu, J., Biondi, F., Orlando, D., Farina, A.,
Training Data Classification Algorithms for Radar Applications,
SPLetters(26), No. 10, October 2019, pp. 1446-1450.
IEEE DOI 1909
covariance matrices, learning (artificial intelligence), maximum likelihood estimation, object detection, radar detection, spectral symmetry BibRef

An, Q., Pan, Z., Liu, L., You, H.,
DRBox-v2: An Improved Detector With Rotatable Boxes for Target Detection in SAR Images,
GeoRS(57), No. 11, November 2019, pp. 8333-8349.
IEEE DOI 1911
Object detection, Feature extraction, Detectors, Proposals, Radar polarimetry, Remote sensing, Encoding, target detection BibRef

Zhang, Z.Y.[Zhen-Yu], Zhu, W.[Wei],
Azimuthal constraint representation for synthetic aperture radar target recognition along with aspect estimation,
SIViP(13), No. 8, November 2019, pp. 1577-1584.
Springer DOI 1911
SAR is sensitive to Azimuth. BibRef

Nowak, A.[Aleksander], Naus, K.[Krzysztof], Maksimiuk, D.[Dariusz],
A Method of Fast and Simultaneous Calibration of Many Mobile FMCW Radars Operating in a Network Anti-Drone System,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Yu, M.T.[Mei-Ting], Quan, S.N.[Si-Nong], Kuang, G.Y.[Gang-Yao], Ni, S.J.[Shao-Jie],
SAR Target Recognition via Joint Sparse and Dense Representation of Monogenic Signal,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Meng, W.Z.[Wei-Ze], Cai, Z.H.[Zhi-Hao], Fang, F.P.[Fu-Ping], Feng, D.J.[De-Jun], Wang, J.R.[Jin-Rong], Xing, S.Q.[Shi-Qi], Quan, S.N.[Si-Nong],
Detection and Type Recognition of SAR Artificial Modulation Targets Based on Multi-Scale Amplitude-Phase Features,
RS(16), No. 12, 2024, pp. 2107.
DOI Link 2406
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Li, Z.[Zihan], Yu, A.X.[An-Xi], Dong, Z.[Zhen], He, Z.H.[Zhi-Hua], Yi, T.Z.[Tian-Zhu],
Suppressing False Alarm in VideoSAR via Gradient-Weighted Edge Information,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Wang, W.T.[Wan-Tian], Tang, Z.Y.[Zi-Yue], Chen, Y.C.[Yi-Chang], Zhang, Y.P.[Yuan-Peng], Sun, Y.J.[Yong-Jian],
Aircraft Target Classification for Conventional Narrow-Band Radar with Multi-Wave Gates Sparse Echo Data,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Xiong, G., Wang, F., Zhu, L., Li, J., Yu, W.,
SAR Target Detection in Complex Scene Based on 2-D Singularity Power Spectrum Analysis,
GeoRS(57), No. 12, December 2019, pp. 9993-10003.
IEEE DOI 1912
Fractals, Synthetic aperture radar, Object detection, Clutter, Signal to noise ratio, Feature extraction, Spectral analysis, synthetic aperture radar (SAR) target detection BibRef

Zhang, L., Zhang, Y., Yin, H., He, S., Zhu, G.,
A Fast SAR Target Indexing Method Based on Geometric Models,
GeoRS(57), No. 12, December 2019, pp. 10226-10240.
IEEE DOI 1912
Scattering, Indexing, Synthetic aperture radar, Feature extraction, Radar polarimetry, Computational modeling, Target recognition, synthetic aperture radar (SAR) BibRef

Zhang, J.H.[Jia-Huan], Song, H.J.[Hong-Jun], Zhou, B.B.[Bin-Bin],
SAR Target Classification Based on Deep Forest Model,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
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Zhang, J.H.[Jia-Huan], Song, H.J.[Hong-Jun],
Multi-Feature Fusion for Weak Target Detection on Sea-Surface Based on FAR Controllable Deep Forest Model,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Du, L., Wang, Y., Xie, W., Wang, Z., Chen, J.,
A Semisupervised Infinite Latent Dirichlet Allocation Model for Target Discrimination in SAR Images With Complex Scenes,
GeoRS(58), No. 1, January 2020, pp. 666-679.
IEEE DOI 2001
Semantics, Synthetic aperture radar, Radar polarimetry, Training, Feature extraction, Support vector machines, Clutter, target discrimination BibRef

Huang, Z.L.[Zhong-Ling], Datcu, M.[Mihai], Pan, Z.X.[Zong-Xu], Lei, B.[Bin],
Deep SAR-Net: Learning objects from signals,
PandRS(161), 2020, pp. 179-193.
Elsevier DOI 2002
Deep convolutional neural network, Complex-valued SAR images, Transfer learning, Time-frequency analysis, Physical properties BibRef

Shang, R.H.[Rong-Hua], Lin, J.[Junkai], Jiao, L.C.[Li-Cheng], Li, Y.Y.[Yang-Yang],
SAR Image Segmentation Using Region Smoothing and Label Correction,
RS(12), No. 5, 2020, pp. xx-yy.
DOI Link 2003
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Huang, Z., Pan, Z., Lei, B.,
What, Where, and How to Transfer in SAR Target Recognition Based on Deep CNNs,
GeoRS(58), No. 4, April 2020, pp. 2324-2336.
IEEE DOI 2004
Synthetic aperture radar, Task analysis, Target recognition, Optical sensors, Remote sensing, Optical imaging, transfer learning BibRef

Du, L., Li, L., Wei, D., Mao, J.,
Saliency-Guided Single Shot Multibox Detector for Target Detection in SAR Images,
GeoRS(58), No. 5, May 2020, pp. 3366-3376.
IEEE DOI 2005
Convolutional neural network (CNN), deep learning, saliency detection, single shot multibox detector (SSD), target detection BibRef

Cao, C., Cao, Z., Cui, Z.,
LDGAN: A Synthetic Aperture Radar Image Generation Method for Automatic Target Recognition,
GeoRS(58), No. 5, May 2020, pp. 3495-3508.
IEEE DOI 2005
Radar polarimetry, Image recognition, Synthetic aperture radar, Target recognition, Training, BibRef

Zhang, A.J.[An-Jun], Yang, X.Z.[Xue-Zhi], Fang, S.[Shuai], Ai, J.Q.[Jia-Qiu],
Region level SAR image classification using deep features and spatial constraints,
PandRS(163), 2020, pp. 36-48.
Elsevier DOI 2005
Combine CNN with superpixel. Convolutional neural network, SAR image classification, Speckle noise, Super-pixel, Region-level MRF, Region Category Confidence-degree BibRef

Yang, X.Y.[Xiang-Yu], Yang, X.Z.[Xue-Zhi], Zhang, C.J.[Chun-Ju], Wang, J.[Jun],
SAR Image Classification Using Markov Random Fields with Deep Learning,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Liang, W., Wu, Y., Li, M., Cao, Y.,
High-Resolution SAR Image Classification Using Context-Aware Encoder Network and Hybrid Conditional Random Field Model,
GeoRS(58), No. 8, August 2020, pp. 5317-5335.
IEEE DOI 2007
Radar polarimetry, Synthetic aperture radar, Training, Context modeling, Semantics, Labeling, Computational modeling, pixel-wise image classification BibRef

Geng, J.[Jie], Jiang, W.[Wen], Deng, X.Y.[Xin-Yang],
Multi-scale deep feature learning network with bilateral filtering for SAR image classification,
PandRS(167), 2020, pp. 201-213.
Elsevier DOI 2008
SAR image classification, Deep neural networks, Feature learning, Bilateral filtering BibRef

Tao, L., Jiang, X., Liu, X., Li, Z., Zhou, Z.,
Multiscale Supervised Kernel Dictionary Learning for SAR Target Recognition,
GeoRS(58), No. 9, September 2020, pp. 6281-6297.
IEEE DOI 2008
Feature extraction, Synthetic aperture radar, Dictionaries, Kernel, Image reconstruction, Target recognition, Training, synthetic aperture radar (SAR) target recognition BibRef

He, Z., Xiao, H., Gao, C., Tian, Z., Chen, S.W.,
Fusion of Sparse Model Based on Randomly Erased Image for SAR Occluded Target Recognition,
GeoRS(58), No. 11, November 2020, pp. 7829-7844.
IEEE DOI 2011
Target recognition, Mathematical model, Synthetic aperture radar, Image reconstruction, Training, Electromagnetic scattering, synthetic aperture radar (SAR) BibRef

Addabbo, P.[Pia], Liu, J.[Jun], Orlando, D.[Danilo], Ricci, G.[Giuseppe],
Novel Parameter Estimation and Radar Detection Approaches for Multiple Point-Like Targets: Designs and Comparisons,
SPLetters(27), 2020, pp. 1789-1793.
IEEE DOI 2011
Interference, Maximum likelihood estimation, Bayes methods, Covariance matrices, Radar detection, unsupervised learning BibRef

Liang, W.[Wei], Zhang, T.F.[Teng-Fei], Diao, W.H.[Wen-Hui], Sun, X.[Xian], Zhao, L.J.[Liang-Jin], Fu, K.[Kun], Wu, Y.R.[Yi-Rong],
SAR Target Classification Based on Sample Spectral Regularization,
RS(12), No. 21, 2020, pp. xx-yy.
DOI Link 2011
BibRef

Wang, C.W.[Chen-Wei], Pei, J.F.[Ji-Fang], Wang, Z.Y.[Zhi-Yong], Huang, Y.L.[Yu-Lin], Wu, J.J.[Jun-Jie], Yang, H.G.[Hai-Guang], Yang, J.Y.[Jian-Yu],
When Deep Learning Meets Multi-Task Learning in SAR ATR: Simultaneous Target Recognition and Segmentation,
RS(12), No. 23, 2020, pp. xx-yy.
DOI Link 2012
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Xue, R., Bai, X., Zhou, F.,
Spatial-Temporal Ensemble Convolution for Sequence SAR Target Classification,
GeoRS(59), No. 2, February 2021, pp. 1250-1262.
IEEE DOI 2101
Feature extraction, Convolution, Synthetic aperture radar, Image sequences, Kernel, Tensors, Radar imaging, three-dimensional (3-D) convolution BibRef

Oh, J., Youm, G.Y., Kim, M.,
SPAM-Net: A CNN-Based SAR Target Recognition Network With Pose Angle Marginalization Learning,
CirSysVideo(31), No. 2, February 2021, pp. 701-714.
IEEE DOI 2102
Target recognition, Synthetic aperture radar, Pose estimation, Speckle, Task analysis, Convolution, Synthetic aperture radar, marginalization BibRef

Tian, Y.[Ye], Sun, J.G.[Jian-Guo], Qi, P.Y.[Peng-Yuan], Yin, G.S.[Gui-Sheng], Zhang, L.G.[Li-Guo],
Multi-Block Mixed Sample Semi-Supervised Learning for SAR Target Recognition,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Zhang, J., Xing, M., Xie, Y.,
FEC: A Feature Fusion Framework for SAR Target Recognition Based on Electromagnetic Scattering Features and Deep CNN Features,
GeoRS(59), No. 3, March 2021, pp. 2174-2187.
IEEE DOI 2103
Feature extraction, Target recognition, Synthetic aperture radar, Image recognition, Electromagnetic scattering, Radar polarimetry, target recognition BibRef

Vint, D.[David], Anderson, M.[Matthew], Yang, Y.H.[Yu-Hao], Ilioudis, C.[Christos], Caterina, G.D.[Gaetano Di], Clemente, C.[Carmine],
Automatic Target Recognition for Low Resolution Foliage Penetrating SAR Images Using CNNs and GANs,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
BibRef

Wang, J.J.[Jing-Jing], Liu, Z.[Zheng], Xie, R.[Rong], Ran, L.[Lei],
Radar HRRP Target Recognition Based on Dynamic Learning with Limited Training Data,
RS(13), No. 4, 2021, pp. xx-yy.
DOI Link 2103
High-resolution range profile. BibRef

Dong, G., Liu, H.,
Global Receptive-Based Neural Network for Target Recognition in SAR Images,
Cyber(51), No. 4, April 2021, pp. 1954-1967.
IEEE DOI 2103
Target recognition, Scattering, Feature extraction, Radar polarimetry, Training, Task analysis, Neural networks, unconstrained environment BibRef

Wang, S.L., Xu, Z., Dong, W., Wang, G.,
A Scheme of Polarimetric Superresolution for Multitarget Detection and Localization,
SPLetters(28), 2021, pp. 439-443.
IEEE DOI 2103
Superresolution, Estimation, Radar, Array signal processing, Signal to noise ratio, Parametric statistics, Indexes, true target extractor BibRef

Wang, Y.M.[Ya-Min], Chen, J.[Jie], Liu, W.[Wei], Li, C.S.[Chun-Sheng], Yang, W.[Wei],
A Moving Target Velocity Estimation Method Based on the MC-MASA SAR Mode,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Yan, H.[He], Chen, C.[Chao], Jin, G.D.[Guo-Dong], Zhang, J.D.[Jin-Dong], Wang, X.D.[Xu-Dong], Zhu, D.[Daiyin],
Implementation of a Modified Faster R-CNN for Target Detection Technology of Coastal Defense Radar,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Cong, J.Y.[Jing-Yu], Wang, X.P.[Xian-Peng], Lan, X.[Xiang], Huang, M.X.[Meng-Xing], Wan, L.T.[Liang-Tian],
Fast Target Localization Method for FMCW MIMO Radar via VDSR Neural Network,
RS(13), No. 10, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Su, Y.[Yunye], Lan, X.[Xiang], Shi, J.M.[Jin-Mei], Sun, L.[Lu], Wang, X.P.[Xian-Peng],
Fast Target Localization in FMCW-MIMO Radar with Low SNR and Snapshot via Multi-DeepNet,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Wang, C.[Chen], Shi, J.[Jun], Zhou, Y.Y.[Yuan-Yuan], Yang, X.Q.[Xia-Qing], Zhou, Z.[Zenan], Wei, S.J.[Shun-Jun], Zhang, X.L.[Xiao-Ling],
Semisupervised Learning-Based SAR ATR via Self-Consistent Augmentation,
GeoRS(59), No. 6, June 2021, pp. 4862-4873.
IEEE DOI 2106
Training, Synthetic aperture radar, Semisupervised learning, Supervised learning, Training data, Radar polarimetry, synthetic aperture radar (SAR) BibRef

Buzzi, S.[Stefano], Grossi, E.[Emanuele], Lops, M.[Marco], Venturino, L.[Luca],
Radar Target Detection Aided by Reconfigurable Intelligent Surfaces,
SPLetters(28), 2021, pp. 1315-1319.
IEEE DOI 2107
Radar, Radar antennas, Signal to noise ratio, Radar detection, Delays, Transmitting antennas, Wireless communication, Radar, metasurfaces BibRef

Grossi, E.[Emanuele], Taremizadeh, H.[Hedieh], Venturino, L.[Luca],
Radar Target Detection and Localization Aided by an Active Reconfigurable Intelligent Surface,
SPLetters(30), 2023, pp. 903-907.
IEEE DOI 2308
Radar, Receivers, Radar detection, Location awareness, Radio frequency, Object detection, Radar antennas, Detection, reconfigurable intelligent surfaces BibRef

Rihan, M.[Mohamed], Grossi, E.[Emanuele], Venturino, L.[Luca], Buzzi, S.[Stefano],
Spatial Diversity in Radar Detection via Active Reconfigurable Intelligent Surfaces,
SPLetters(29), 2022, pp. 1242-1246.
IEEE DOI 2206
Radar detection, Signal to noise ratio, Passive radar, Optimization, Receivers, Radio transmitters, Object detection, spatial/angular diversity BibRef

Wei, D.[Di], Du, Y.[Yuang], Du, L.[Lan], Li, L.[Lu],
Target Detection Network for SAR Images Based on Semi-Supervised Learning and Attention Mechanism,
RS(13), No. 14, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Zeng, Z.Q.[Zhi-Qiang], Sun, J.P.[Jin-Ping], Xu, C.[Congan], Wang, H.Y.[Hai-Yang],
Unknown SAR Target Identification Method Based on Feature Extraction Network and KLD-RPA Joint Discrimination,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Yu, J.[Jimin], Zhou, G.Y.[Guang-Yu], Zhou, S.B.[Shang-Bo], Yin, J.J.[Jia-Jun],
A Lightweight Fully Convolutional Neural Network for SAR Automatic Target Recognition,
RS(13), No. 15, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Liu, Q.S.[Qing-Shu], Lang, L.[Liang],
MMFF: Multi-manifold feature fusion based neural networks for target recognition in complex-valued SAR imagery,
PandRS(180), 2021, pp. 151-162.
Elsevier DOI 2109
Convolutional neural networks, Complex-valued SAR images, Feature fusion, Riemannian manifold, Lie group BibRef

Hu, X.W.[Xiao-Wei], Feng, W.[Weike], Guo, Y.[Yiduo], Wang, Q.[Qiang],
Feature Learning for SAR Target Recognition with Unknown Classes by Using CVAE-GAN,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Cao, C.J.[Chang-Jie], Cui, Z.Y.[Zong-Yong], Cao, Z.J.[Zong-Jie], Wang, L.Y.[Li-Ying], Yang, J.Y.[Jian-Yu],
An Integrated Counterfactual Sample Generation and Filtering Approach for SAR Automatic Target Recognition with a Small Sample Set,
RS(13), No. 19, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Feng, Z.P.[Zhen-Peng], Ji, H.B.[Hong-Bing], Stankovic, L.[Ljubiša], Fan, J.Y.[Jing-Yuan], Zhu, M.Z.[Ming-Zhe],
SC-SM CAM: An Efficient Visual Interpretation of CNN for SAR Images Target Recognition,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Du, L.[Lan], Li, L.[Lu], Guo, Y.C.[Yu-Chen], Wang, Y.[Yan], Ren, K.[Ke], Chen, J.[Jian],
Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Xu, Y.J.[Yan-Jie], Sun, H.[Hao], Chen, J.[Jin], Lei, L.[Lin], Ji, K.F.[Ke-Feng], Kuang, G.Y.[Gang-Yao],
Adversarial Self-Supervised Learning for Robust SAR Target Recognition,
RS(13), No. 20, 2021, pp. xx-yy.
DOI Link 2110
BibRef

Cao, Z.H.[Zhi-Hui], Li, J.J.[Jun-Jie], Song, C.[Chunyi], Xu, Z.W.[Zhi-Wei], Wang, X.P.[Xiao-Ping],
Compressed Sensing-Based Multitarget CFAR Detection Algorithm for FMCW Radar,
GeoRS(59), No. 11, November 2021, pp. 9160-9172.
IEEE DOI 2111
Constant false alarm rate. frequency-modulated continuous wave Radar. Radar, Radar detection, Chirp, Prediction algorithms, Clutter, Signal to noise ratio, Correlation, Compressed sensing (CS), multitarget detection BibRef

Guo, Y.C.[Yu-Chen], Du, L.[Lan], Lyu, G.X.[Guo-Xin],
SAR Target Detection Based on Domain Adaptive Faster R-CNN with Small Training Data Size,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Cui, Z.Y.[Zong-Yong], Qin, Y.[Yi], Zhong, Y.T.[Ya-Ting], Cao, Z.J.[Zong-Jie], Yang, H.Y.[Hai-Yi],
Target Detection in High-Resolution SAR Image via Iterating Outliers and Recursing Saliency Depth,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Pan, M.[Mian], Liu, A.[Ailin], Yu, Y.Z.[Yan-Zhen], Wang, P.H.[Peng-Hui], Li, J.J.[Jian-Jun], Liu, Y.[Yan], Lv, S.S.[Shuai-Shuai], Zhu, H.[He],
Radar HRRP Target Recognition Model Based on a Stacked CNN-Bi-RNN With Attention Mechanism,
GeoRS(60), 2022, pp. 1-14.
IEEE DOI 2112
High-resolution range profile. Feature extraction, Radar, Target recognition, Convolutional neural networks, Convolution, radar BibRef

Qian, X.X.[Xiao-Xue], Liu, F.[Fang], Jiao, L.C.[Li-Cheng], Zhang, X.R.[Xiang-Rong], Chen, P.[Puhua], Li, L.L.[Ling-Ling], Gu, J.[Jing], Cui, Y.H.[Yuan-Hao],
A Hybrid Network With Structural Constraints for SAR Image Scene Classification,
GeoRS(60), 2022, pp. 1-17.
IEEE DOI 2112
Radar polarimetry, Bayes methods, Data models, Synthetic aperture radar, Feature extraction, Neural networks, synthetic aperture radar (SAR) image scene classification BibRef

Zhou, Y.[Yu], Li, Y.[Yi], Xie, W.[Weitong], Li, L.[Lu],
A Convolutional Neural Network Combined with Attributed Scattering Centers for SAR ATR,
RS(13), No. 24, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Tai, T.J.[Tsen-Jung], Toda, M.[Masato],
Adapting Intra-Class Variations for SAR Image Classification,
ICIP21(2653-2657)
IEEE DOI 2201
Image recognition, Target recognition, Annotations, Face recognition, Radar polarimetry, Land vehicles, Intra-class variance BibRef

Liao, L.[Leiyao], Du, L.[Lan], Guo, Y.C.[Yu-Chen],
Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Gao, T.[Tong], Chen, H.[Hao], Chen, W.[Wen],
MCMS-STM: An Extension of Support Tensor Machine for Multiclass Multiscale Object Recognition in Remote Sensing Images,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Wang, L.Z.[Ling-Zhi], Xie, G.[Guo], Qian, F.[Fucai], Jin, Y.Z.[Yong-Ze], Gao, K.[Ke],
A Novel Model for Analyzing the Statistical Properties of Targets' RCS,
SPLetters(29), 2022, pp. 583-586.
IEEE DOI 2202
Radar Cross-Sections, Radar, Mathematical models, Fitting, Data models, Atmospheric modeling, Radar detection, Radar targets, probability density function BibRef

Dong, G.G.[Gang-Gang], Liu, H.W.[Hong-Wei],
A hierarchical receptive network oriented to target recognition in SAR images,
PR(126), 2022, pp. 108558.
Elsevier DOI 2204
Target recognition, Deep learning, Knowledge, Hierarchical receptive, SAR Image BibRef

Zhang, Y.K.[Yu-Kun], Guo, X.S.[Xian-Sheng], Li, L.[Lin], Ansari, N.[Nirwan],
Deep knowledge integration of heterogeneous features for domain adaptive SAR target recognition,
PR(126), 2022, pp. 108590.
Elsevier DOI 2204
Heterogeneous features, Knowledge integration, Domain adaptation, Online learning, Synthetic aperture radar BibRef

Zhao, X.[Xin], Lv, X.L.[Xiao-Ling], Cai, J.[Jinlei], Guo, J.Y.[Jia-Yi], Zhang, Y.T.[Yue-Ting], Qiu, X.L.[Xiao-Lan], Wu, Y.R.[Yi-Rong],
Few-Shot SAR-ATR Based on Instance-Aware Transformer,
RS(14), No. 8, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Han, L.X.[Li-Xun], Feng, C.Q.[Cun-Qian],
Parameter Estimation for Precession Cone-Shaped Targets Based on Range-Frequency-Time Radar Data Cube,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Ge, J.[Ji], Wang, C.[Chao], Zhang, B.[Bo], Xu, C.G.[Chang-Gui], Wen, X.Y.[Xiao-Yang],
Azimuth-Sensitive Object Detection of High-Resolution SAR Images in Complex Scenes by Using a Spatial Orientation Attention Enhancement Network,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Liao, L.Y.[Lei-Yao], Du, L.[Lan], Zhang, W.[Wei], Chen, J.[Jian],
Adaptive Max-Margin One-Class Classifier for SAR Target Discrimination in Complex Scenes,
RS(14), No. 9, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Hennessy, B.[Brendan], Rutten, M.[Mark], Young, R.[Robert], Tingay, S.[Steven], Summers, A.[Ashley], Gustainis, D.[Daniel], Crosse, B.[Brian], Sokolowski, M.[Marcin],
Establishing the Capabilities of the Murchison Widefield Array as a Passive Radar for the Surveillance of Space,
RS(14), No. 11, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Xie, Y.C.[Yao-Cong], Li, X.P.[Xiao-Ping], Shen, F.F.[Fang-Fang], Mao, Z.[Zheng], Bai, B.[Bowen], Chen, X.Y.[Xu-Yang],
Influence of Plasma Sheath's Velocity Field on ISAR Imaging of Hypersonic Target,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Li, S.Y.[Si-Yuan], Pan, Z.X.[Zong-Xu], Hu, Y.X.[Yu-Xin],
Multi-Aspect Convolutional-Transformer Network for SAR Automatic Target Recognition,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Jeong, N.H.[Nam-Hoon], Choi, J.H.[Jae-Ho], Lee, G.[Geon], Park, J.H.[Ji-Hoon], Kim, K.T.[Kyung-Tae],
Feature Selection for SAR Target Discrimination and Efficient Two-Stage Detection Method,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Wang, C.W.[Chen-Wei], Liu, X.Y.[Xiao-Yu], Huang, Y.L.[Yu-Lin], Luo, S.Y.[Si-Yi], Pei, J.F.[Ji-Fang], Yang, J.Y.[Jian-Yu], Mao, D.Q.[De-Qing],
Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation,
RS(14), No. 18, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Wang, Z.[Zeyu], Liu, J.[Jun], Chen, H.M.[Hong-Meng], Yang, W.[Wei],
Adaptive Robust Radar Target Detector Based on Gradient Test,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Zhang, Z.W.[Zhi-Wei], Gao, X.Z.[Xun-Zhang], Liu, S.W.[Shuo-Wei], Peng, B.[Bowen], Wang, Y.F.[Yu-Fei],
Energy-Based Adversarial Example Detection for SAR Images,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Liu, X.D.[Xiao-Dan], Wang, L.[Li], Bai, X.[Xueru],
End-to-End Radar HRRP Target Recognition Based on Integrated Denoising and Recognition Network,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Deng, Y.[Yang], Deng, Y.K.[Yun-Kai],
A Method of SAR Image Automatic Target Recognition Based on Convolution Auto-Encode and Support Vector Machine,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Zhou, Z.[Zheng], Cui, Z.Y.[Zong-Yong], Zang, Z.P.[Zhi-Peng], Meng, X.J.[Xiang-Jie], Cao, Z.[Zongjie], Yang, J.Y.[Jian-Yu],
UltraHi-PrNet: An Ultra-High Precision Deep Learning Network for Dense Multi-Scale Target Detection in SAR Images,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Kacan, M.[Marin], Turcinovic, F.[Filip], Bojanjac, D.[Dario], Bosiljevac, M.[Marko],
Deep Learning Approach for Object Classification on Raw and Reconstructed GBSAR Data,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
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Zhang, Y.[Ying], Hao, Y.S.[Yi-Sheng],
A Survey of SAR Image Target Detection Based on Convolutional Neural Networks,
RS(14), No. 24, 2022, pp. xx-yy.
DOI Link 2212
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Wang, D.[Dahu], Liu, C.[Chang], Wang, C.[Chao],
A Parallel Principal Skewness Analysis and Its Application in Radar Target Detection,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Zhao, D.W.[Da-Wei], Wang, J.[Jun], Zuo, L.[Luo], Wang, J.P.[Ji-Peng],
A Novel Cross-Correlation Algorithm Based on the Differential for Target Detection of Passive Radar,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Du, M.[Meng], Bi, D.P.[Da-Ping], Du, M.Y.[Ming-Yang], Xu, X.S.[Xin-Song], Wu, Z.L.[Zi-Long],
ULAN: A Universal Local Adversarial Network for SAR Target Recognition Based on Layer-Wise Relevance Propagation,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Bi, H.[Hui], Liu, Z.[Zehao], Deng, J.R.[Jia-Rui], Ji, Z.Y.[Zhong-Yuan], Zhang, J.J.[Jing-Jing],
Contrastive Domain Adaptation-Based Sparse SAR Target Classification under Few-Shot Cases,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Xia, Z.H.[Zi-Heng], Wang, P.H.[Peng-Hui], Liu, H.W.[Hong-Wei],
Radar HRRP Open Set Target Recognition Based on Closed Classification Boundary,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
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Sun, Y.S.[Yuan-Shuang], Wang, Y.H.[Ying-Hua], Liu, H.W.[Hong-Wei], Hu, L.P.[Li-Ping], Zhang, C.[Chen], Wang, S.Y.[Si-Yuan],
Gradual Domain Adaptation with Pseudo-Label Denoising for SAR Target Recognition When Using Only Synthetic Data for Training,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
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Li, J.W.[Jian-Wei], Yu, Z.T.[Zhen-Tao], Yu, L.[Lu], Cheng, P.[Pu], Chen, J.[Jie], Chi, C.[Cheng],
A Comprehensive Survey on SAR ATR in Deep-Learning Era,
RS(15), No. 5, 2023, pp. xx-yy.
DOI Link 2303
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Zhang, Y.K.[Yu-Kun], Guo, X.S.[Xian-Sheng], Leung, H.[Henry], Li, L.[Lin],
Cross-task and cross-domain SAR target recognition: A meta-transfer learning approach,
PR(138), 2023, pp. 109402.
Elsevier DOI 2303
Meta learning, Transfer learning, Domain confusion, Synthetic aperture radar (SAR) BibRef

Zhang, C.[Chao], Dong, H.B.[Hong-Bin], Deng, B.S.[Bao-Song],
Improving Pre-Training and Fine-Tuning for Few-Shot SAR Automatic Target Recognition,
RS(15), No. 6, 2023, pp. 1709.
DOI Link 2304
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Pan, Q.[Qidi], Liao, K.[Kuo], He, X.[Xuesi], Bu, Z.C.[Zhi-Chun], Huang, J.[Jiyan],
A Class-Incremental Learning Method for SAR Images Based on Self-Sustainment Guidance Representation,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
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Qin, J.[Jikai], Liu, Z.[Zheng], Ran, L.[Lei], Xie, R.[Rong], Tang, J.[Junkui], Zhu, H.Y.[Hong-Yu],
An SAR Image Automatic Target Recognition Method Based on the Scattering Parameter Gaussian Mixture Model,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Wang, R.N.[Ruo-Nan], Wang, Z.C.[Zhao-Cheng], Chen, Y.[Yu], Kang, H.L.[Hai-Long], Luo, F.[Feng], Liu, Y.X.[Ying-Xi],
Target Recognition in SAR Images Using Complex-Valued Network Guided with Sub-Aperture Decomposition,
RS(15), No. 16, 2023, pp. 4031.
DOI Link 2309
BibRef

Xiong, J.W.[Jing-Wei], Pan, J.[Jifei], Du, M.Y.[Ming-Yang],
A Cascade Network for Pattern Recognition Based on Radar Signal Characteristics in Noisy Environments,
RS(15), No. 16, 2023, pp. 4083.
DOI Link 2309
BibRef

Wang, C.W.[Chen-Wei], Luo, S.[Siyi], Pei, J.F.[Ji-Fang], Huang, Y.L.[Yu-Lin], Zhang, Y.[Yin], Yang, J.Y.[Jian-Yu],
Crucial feature capture and discrimination for limited training data SAR ATR,
PandRS(204), 2023, pp. 291-305.
Elsevier DOI 2310
Synthetic aperture radar (SAR), Automatic target recognition (ATR), Limited data, Features discrimination BibRef

Zheng, P.G.[Peng-Gen], Zhou, Y.[Ying], Wang, W.[Wei], Wang, T.[Tao],
Target Recognition in SAR Images via Multi-Scale Perception and Denoising Representation,
SPLetters(30), 2023, pp. 1352-1356.
IEEE DOI 2310
BibRef

Zhang, H.[Hua], Liu, Y.H.[Yi-Heng], Dong, Q.H.[Qing-Hai], Liu, N.[Ning], Chang, K.[Kai], Wang, X.M.[Xue-Mei], Lyu, X.[Xiaode],
A Novel Target Detection Method Based on Multi-Parameter Space for Mobile Passive Multistatic Radar,
RS(15), No. 20, 2023, pp. 4961.
DOI Link 2310
BibRef

Zeng, Z.Q.[Zhi-Qiang], Sun, J.P.[Jin-Ping], Yao, X.X.[Xian-Xun], Gu, D.D.[Dan-Dan], Hong, W.[Wen],
SAR-ATR with knowledge hierarchy division and information dissemination networks,
PandRS(206), 2023, pp. 242-257.
Elsevier DOI 2312
Synthetic aperture radar, Automatic target recognition, Stream self-attention, Knowledge hierarchy division, Deep learning BibRef

Huang, Z.L.[Zhong-Ling], Wu, C.[Chong], Yao, X.[Xiwen], Zhao, Z.C.[Zhi-Cheng], Huang, X.[Xiankai], Han, J.W.[Jun-Wei],
Physics inspired hybrid attention for SAR target recognition,
PandRS(207), 2024, pp. 164-174.
Elsevier DOI Code:
WWW Link. 2401
Physical model, SAR target recognition, Domain knowledge, Hybrid modeling, Explainable artificial intelligence BibRef

Shi, Y.[Yu], Du, L.[Lan], Li, C.[Chen], Guo, Y.C.[Yu-Chen], Du, Y.[Yuang],
Unsupervised domain adaptation for SAR target classification based on domain- and class-level alignment: From simulated to real data,
PandRS(207), 2024, pp. 1-13.
Elsevier DOI Code:
WWW Link. 2401
Synthetic Aperture Aadar (SAR), Simulation to reality, Unsupervised domain adaptation, Target classification, Remote sensing image BibRef

Qiao, N.[Ning], Zhang, S.X.[Shuang-Xi], Zhang, S.[Shuo], Du, Q.L.[Qing-Lei], Wang, Y.L.[Yong-Liang],
A Novel Non-Stationary Clutter Suppression Approach for Space-Based Early Warning Radar Using an Interpulse Multi-Frequency Mode,
RS(16), No. 2, 2024, pp. 314.
DOI Link 2402
BibRef

Zhou, Z.[Zheng], Cui, Z.Y.[Zong-Yong], Tang, K.L.[Kai-Ling], Tian, Y.[Yu], Pi, Y.M.[Yi-Ming], Cao, Z.J.[Zong-Jie],
Gaussian meta-feature balanced aggregation for few-shot synthetic aperture radar target detection,
PandRS(208), 2024, pp. 89-106.
Elsevier DOI Code:
WWW Link. 2402
Synthetic aperture radar (SAR), Few-shot target detection, Meta-learning, Metric learning, Gaussian meta-feature balanced aggregation (GMFBA) BibRef

Wang, P.C.[Peng-Cheng], Liu, H.Y.[Huan-Yu], Zhou, X.R.[Xin-Rui], Xue, Z.J.[Zhi-Jun], Ni, L.[Liang], Han, Q.[Qi], Li, J.B.[Jun-Bao],
Multidimensional Evaluation Methods for Deep Learning Models in Target Detection for SAR Images,
RS(16), No. 6, 2024, pp. 1097.
DOI Link 2403
BibRef

Ye, Y.S.[Yi-Shan], Deng, Z.[Zhenmiao], Pan, P.P.[Ping-Ping], He, W.[Wei],
Range-Spread Target Detection Networks Using HRRPs,
RS(16), No. 10, 2024, pp. 1667.
DOI Link 2405
high-resolution radar. BibRef

Gao, X.Z.[Xi-Zhan], Wei, K.[Kang], Niu, S.[Sijie], Zhao, H.[Hui], Dong, J.W.[Ji-Wen],
EDLRDPL_Net: A New Deep Dictionary Learning Network for SAR Image Classification,
SPLetters(31), 2024, pp. 1459-1463.
IEEE DOI 2406
Dictionaries, Entropy, Machine learning, Radar polarimetry, Classification algorithms, Optimization, Image reconstruction, SAR image classification BibRef

Chen, G.[Guo], Zhang, S.[Siqian], He, Q.S.[Qi-Shan], Sun, Z.Z.[Zhong-Zhen], Zhang, X.H.[Xiang-Hui], Zhao, L.J.[Ling-Jun],
Zero-Shot SAR Target Recognition Based on a Conditional Generative Network with Category Features from Simulated Images,
RS(16), No. 11, 2024, pp. 1930.
DOI Link 2406
BibRef

Wu, H.L.[Hai-Lang], Sang, H.[Hanbo], Zhang, Z.H.[Zeng-Hui], Guo, W.W.[Wei-Wei],
LRMSNet: A New Lightweight Detection Algorithm for Multi-Scale SAR Objects,
RS(16), No. 12, 2024, pp. 2082.
DOI Link 2406
BibRef

Liu, G.[Gan], Tian, Y.W.[Ying-Wei], Wen, B.[Biyang], Liu, C.[Chen],
Combined Coherent and Non-Coherent Long-Time Integration Method for High-Speed Target Detection Using High-Frequency Radar,
RS(16), No. 12, 2024, pp. 2139.
DOI Link 2406
BibRef

Xiao, D.P.[Dai-Peng], Liu, W.J.[Wei-Jian], Chen, H.[Hui], Li, H.[Hao], Li, B.B.[Bin-Bin],
An Adaptive Radar Target Detection Method Based on Alternate Estimation in Power Heterogeneous Clutter,
RS(16), No. 13, 2024, pp. 2508.
DOI Link 2407
BibRef

Peng, B.[Bowen], Peng, B.[Bo], Xia, J.Y.[Jing-Yuan], Liu, T.P.[Tian-Peng], Liu, Y.X.[Yong-Xiang], Liu, L.[Li],
Towards assessing the synthetic-to-measured adversarial vulnerability of SAR ATR,
PandRS(214), 2024, pp. 119-134.
Elsevier DOI Code:
WWW Link. 2407
Synthetic aperture radar, Automatic target recognition, Deep neural networks, Adversarial attack, Transferability BibRef

Chen, B.T.[Ben-Teng], Zhou, Z.K.[Zheng-Kang], Liu, C.Y.[Chun-Yu], Zheng, J.[Jia],
Complementary-View SAR Target Recognition Based on One-Shot Learning,
RS(16), No. 14, 2024, pp. 2610.
DOI Link 2408
BibRef

Zhou, X.Y.[Xiao-Yan], Tang, T.[Tao], He, Q.[Qishan], Zhao, L.J.[Ling-Jun], Kuang, G.Y.[Gang-Yao], Liu, L.[Li],
Simulated SAR prior knowledge guided evidential deep learning for reliable few-shot SAR target recognition,
PandRS(216), 2024, pp. 1-14.
Elsevier DOI Code:
WWW Link. 2408
SAR ATR, Simulated SAR data, Uncertainty estimation, Evidential deep learning, Few-shot learning BibRef

Jia, F.[Fengde], Li, C.Y.[Chen-Yang], Bi, S.[Siyi], Qian, J.H.[Jun-Hui], Wei, L.[Leizhe], Sun, G.H.[Guo-Hao],
TC-Radar: Transformer-CNN Hybrid Network for Millimeter-Wave Radar Object Detection,
RS(16), No. 16, 2024, pp. 2881.
DOI Link 2408
BibRef

Wan, H.[Hao], Si, X.[Xu], Zhu, P.[Peikun], Liang, J.[Jing],
Target recognition via discriminant information and geometrical structure co-learning using radar sensor network,
PR(157), 2025, pp. 110931.
Elsevier DOI 2409
High-resolution range profile, Cooperative target recognition, Feature extraction, Radar sensor network BibRef

Gao, F.[Fei], Luo, X.[Xin], Lang, R.L.[Rong-Ling], Wang, J.[Jun], Sun, J.P.[Jin-Ping], Hussain, A.[Amir],
Exploring Reinforced Class Separability and Discriminative Representations for SAR Target Open Set Recognition,
RS(16), No. 17, 2024, pp. 3277.
DOI Link 2409
BibRef

Decourt, C.[Colin], VanRullen, R.[Rufin], Salle, D.[Didier], Oberlin, T.[Thomas],
A Recurrent CNN for Online Object Detection on Raw Radar Frames,
ITS(25), No. 10, October 2024, pp. 13432-13441.
IEEE DOI 2410
Radar, Radar detection, Decoding, Computer architecture, Doppler radar, Convolution, Sensors, radar imaging BibRef

Yu, X.[Xuelian], Yu, H.L.[Hai-Long], Liu, Y.[Yi], Ren, H.[Haohao],
Enhanced Prototypical Network with Customized Region-Aware Convolution for Few-Shot SAR ATR,
RS(16), No. 19, 2024, pp. 3563.
DOI Link 2410
BibRef

He, J.[Jiayue], Su, N.[Nan], Liao, Y.P.[Yan-Ping], Yan, Y.M.[Yi-Ming], Feng, S.[Shou], Zhao, C.H.[Chun-Hui],
A Multi-Modality Feature Enhancement Method Based on Feature Disentanglement for SAR Image Target Detection,
ICIP24(2871-2877)
IEEE DOI 2411
Integrated optics, Object detection, Optical fiber networks, Feature extraction, Optical imaging, Radar polarimetry, feature disentanglement BibRef

Guo, W.L.[Wei-Long], Liv, S.Y.[Sheng-Yang], Yang, J.[Jian],
Scattering Prompt Tuning: A Fine-tuned Foundation Model for SAR Object Recognition,
PBVS24(3056-3065)
IEEE DOI 2410
Training, Scattering, Imaging, Semisupervised learning, Radar imaging, Radar polarimetry, SAR, Fine-tuned BibRef