24.8.6.1 ATR -- SAR Applications

Chapter Contents (Back)
SAR. Radar. ATR, SAR. Ships are separate.
See also Radar, SAR, Ship Detection.
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

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

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

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.],
Statistically Independent Feature Extraction for SAR Imagery,
DARPA98(653-658). BibRef 9800
Earlier:
Statistical Independent and Relevant Feature Extraction for Classification of SAR Imagery,
DARPA97(1029-1030). BibRef

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

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
BibRef

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

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
BibRef

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
BibRef

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

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

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

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

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

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

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

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
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

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

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

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

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

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], 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

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

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

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
BibRef

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

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
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

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

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

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
BibRef

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

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, 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
BibRef

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

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
BibRef

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

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
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

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
BibRef

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

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, 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

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

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

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

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

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

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

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

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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
BibRef

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

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

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

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

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

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

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

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

Dong, G.G.[Gang-Gang], Song, Y.F.[Ya-Fei],
SAR target augmentation and recognition via cross-domain reconstruction,
PR(159), 2025, pp. 111117.
Elsevier DOI 2412
Target recognition, Deep learning, Data augmentation, Coherent re-imaging, SAR image BibRef

Li, W.J.[Wei-Jie], Yang, W.[Wei], Liu, T.P.[Tian-Peng], Hou, Y.N.[Yue-Nan], Li, Y.X.[Yu-Xuan], Liu, Z.[Zhen], Liu, Y.X.[Yong-Xiang], Liu, L.[Li],
Predicting gradient is better: Exploring self-supervised learning for SAR ATR with a joint-embedding predictive architecture,
PandRS(218), 2024, pp. 326-338.
Elsevier DOI Code:
WWW Link. 2412
Synthetic Aperture Radar (SAR), Automatic Target Recognition (ATR), Masked Image Modeling (MIM) BibRef


Low, S.[Spencer], Nina, O.[Oliver], Bowald, D.[Dylan], Sappa, A.D.[Angel D.], Inkawhich, N.[Nathan], Bruns, P.[Peter],
Multi-modal Aerial View Image Challenge: Sensor Domain Translation,
PBVS24(3096-3104)
IEEE DOI 2410
BibRef
And:
Multi-modal Aerial View Image Challenge: SAR Classification,
PBVS24(3105-3112)
IEEE DOI 2410
Measurement, Design methodology, Cameras, Synthetic aperture radar. Laser radar, Image recognition, Pipelines, Optical imaging, Robustness BibRef

Zhang, X.Z.[Xin-Zheng], Luo, Y.Q.[Yu-Qing], Hu, L.P.[Li-Ping],
A Novel Pseudo-Label Generation Method for Semi-Superivised SAR Target Recognition Based on Deep Learning,
ICIP23(650-654)
IEEE DOI 2312
BibRef

Yin, X.X.[Xiao-Xiao], Lan, S.Y.[Shi-Yong], Huang, W.K.[Wei-Kang], Ma, Y.T.[Yi-Tong], Wang, W.W.[Wen-Wu], Yang, H.Y.[Hong-Yu], Zheng, Y.L.[Yi-Lin],
DLAHSD: Dynamic Label Adopted in Auxiliary Head for SAR Detection,
ICIP23(3434-3438)
IEEE DOI Code:
WWW Link. 2312
BibRef

Ma, S.[Sijia], Zhang, L.[Libao],
SAR Target Extraction Based On Saliency-Guided Cross-Domain Discrepancy Alignment Strategy,
ICIP23(3155-3159)
IEEE DOI 2312
BibRef

Kang, J.Y.[Junh-Yung], Jeon, H.[Hyeonseong], Bang, Y.[Youngoh], Woo, S.S.[Simon S.],
Sarod: Efficient End-To-End Object Detection on SAR Images With Reinforcement Learning,
ICIP21(1889-1893)
IEEE DOI 2201
Satellites, Spaceborne radar, Radar detection, Object detection, Detectors, Reinforcement learning, Speckle, SAR image, Efficient Learning BibRef

Sadjadi, F.,
Adaptive Object Classification Using Complex SAR Signatures,
PBVS16(299-303)
IEEE DOI 1612
BibRef

Gleich, D.[Dusan],
Information extraction from very high resolution satellite SAR data time series using graph based connected features,
ICIP15(378-381)
IEEE DOI 1512
Compresses sensing; Feature extraction; Synthetic Aperture Radar BibRef

Kayabol, K.[Koray],
Local histogram based classification of SAR images using spatially dependent mixtures,
ICIP14(5157-5161)
IEEE DOI 1502
Bayes methods BibRef

Kayabol, K.[Koray], Gunsel, B.[Bilge],
SAR image classification with normalized gamma process mixtures,
ICIP13(320-324)
IEEE DOI 1402
Bayes methods BibRef

de Carvalho, L.M.T., Rahman, M.M., Hay, G.J., Yackel, J.,
Optical and SAR Imagery for Mapping Vegetation Gradients in Brazilian Savannas: Synergy Between Pixel-Based and Object-Based Approaches,
GEOBIA10(xx-yy).
PDF File. 1007
BibRef

Zou, B.[Bin], Jia, Q.C.[Qing-Chao], Zhang, L.[Lamei], Zhang, Y.[Ye],
Target detection based on granularity computing of quotient space theory using SAR image,
ICIP10(4601-4604).
IEEE DOI 1009
BibRef

Xu, J.[Jia], Han, W.[Wei], He, X.F.[Xiu-Feng], Chen, R.X.[Ren-Xi],
Small target detection in SAR image using the Alpha-stable distribution model,
IASP10(64-68).
IEEE DOI 1004
BibRef

Chen, D.F.[Dong-Fang], Li, X.P.[Xue-Ping],
Target Detection in SAR Image Based-on Wavelet Transform and Fractal Feature,
CISP09(1-4).
IEEE DOI 0910
BibRef

Luo, H.L.[Hua-Lin], Wang, W.[Wei], Zhang, G.X.[Gui-Xu], Pi, L.[Ling],
A Variational Approach for Bias Correction and Boundary Delineation of SAR Image with Intensity Inhomogeneity,
CISP09(1-5).
IEEE DOI 0910
BibRef

Cinque, L.[Luigi], Cossu, R.[Rossella],
Regions Segmentation from SAR Images,
CIAP11(I: 58-67).
Springer DOI 1109
BibRef

Cerimele, M.M.[Maria Mercede], Cinque, L.[Luigi], Cossu, R.[Rossella], Galiffa, R.[Roberta],
Coastline Detection from SAR Images by Level Set Model,
CIAP09(364-373).
Springer DOI 0909
BibRef

Liu, X.[Xin], Ma, H.B.[Hong-Bing], Sun, W.D.[Wei-Dong],
Study on the Geolocation Algorithm of Space-Borne SAR Image,
IWICPAS06(270-280).
Springer DOI 0608
BibRef

Zhang, X.R.[Xiang-Rong], Shan, T.[Tan], Wang, S.[Shuang], Jiao, L.C.[Li-Cheng],
SAR Image Segmentation Using Kernel Based Spatial FCM,
ICIAR05(48-54).
Springer DOI 0509
BibRef

Zhang, X.R.[Xiang-Rong], Shan, T.[Tan], Jiao, L.C.[Li-Cheng],
SAR Image Classification Based on Immune Clonal Feature Selection,
ICIAR04(II: 504-511).
Springer DOI 0409
BibRef

Middelmann, W.[Wolfgang],
Classification with Controlled Robustness in High-Resolution SAR Data,
DAGM03(92-99).
Springer DOI 0310
BibRef

Paget, R., Homer, J., Crisp, D.,
(Automatic) Target Detection in Synthetic Aperture Radar Imagery Via Terrain Recognition,
ICIP01(III: 54-57).
IEEE DOI 0108
BibRef

Pavlidis, I., Perrin, D., Papanikolopoulos, N.P., Au, W., Sawtelle, S.,
A Ground Truth Tool for Synthetic Aperture Radar (SAR) Imagery,
CVBVS99(82).
IEEE DOI BibRef 9900

Chen, T.L.[Tsung-Liang], Binford, T.O.[Thomas O.],
Context and Quasi-Invariants in ATR with SAR Imagery,
DARPA98(839-848). BibRef 9800

Hero, A.O., and Guilouet, C.,
Robust Detection of SAR/IR Targets via Invariance,
ICIP97(III: 472-475).
IEEE DOI BibRef 9700

Mathieu-Marni, S., Kuttikkad, S., and Chellappa, R.,
Context-Aided False Alarm Reduction for SAR Automatic Target Recognition,
ICIP97(I: 885-888).
IEEE DOI BibRef 9700

Kuttikkad, S., Phillips, W., Mathieu-Marni, S., Meth, R., Chellappa, R.,
Use of Context for False Alarm Reduction in SAR Automatic Target Recognition,
DARPA97(1091-1104). BibRef 9700

Binford, T.O.[Thomas O.], Wang, B.H.[By-Her], Levitt, T.S.[Tod S.],
Context and Quasi-Invarinats in ATR with SAR Imagery,
DARPA97(1031-1040). BibRef 9700

Hampshire, II, J.B.[John B.],
A Real-Time Interactive SAR Tactical Mapper,
DARPA97(449-454). BibRef 9700

Hampshire, II, J.B.[John B.],
sarMapper: A Real-Time Interactive SAR Tactical Mapper,
DARPA97(547-564). BibRef 9700

Fisher, III, J.W.[John W.], Grimson, W.E.L.[W. Eric L.], Viola, P.[Paul], Willsky, A.S.[Alan S.],
A Unified, Multiresolution Framework for Automatic Target Recognition,
DARPA98(671-678). BibRef 9800
Earlier: (No A1) A2, Shapiro, J., A3, A4: (And no comma after Unified): DARPA97(1023-1028). BibRef

Kim, A.[Andrew], Fisher, III, J.W.[John W.], Viola, P.[Paul], Willsky, A.S.[Alan S.],
Sub-Aperature Extensions to the Flexible Histogram Approach for SAR ATR,
DARPA98(861-866). BibRef 9800

Banerjee, A., Burlina, P., Chellappa, R., Kapoor, R.,
Frequency dependence of ATD performance in foliage-penetrating SAR images,
ICIP98(I: 578-582).
IEEE DOI 9810
BibRef

Wong, Y., Posner, E.C.,
Scale-space clustering and classification of SAR images with numerous attributes and classes,
WACV92(74-81).
IEEE DOI 0403
BibRef

Chapter on Cartography, Aerial Images, Buildings, Roads, Terrain, Forests, Trees, ATR continues in
Borehole Radar, Analysis, Applications .


Last update:Jan 20, 2025 at 11:36:25