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.[Ljubia],
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
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 .