4.12.2.11 PolSAR, Polarimetric, Polarimetry, Radar Polarization

Bi, H., Sun, J., Xu, Z.,
Unsupervised PolSAR Image Classification Using Discriminative Clustering,
GeoRS(55), No. 6, June 2017, pp. 3531-3544.
IEEE DOI 1706
Algorithm design and analysis, Clustering algorithms, Feature extraction, Optimization, Scattering, Support vector machines, Training, Discriminative clustering, Markov random field (MRF), polarimetric synthetic aperture radar (PolSAR) image classification, softmax, regression, (SR), model BibRef

Zou, B., Lu, D., Zhang, L., Moon, W.M.,
Independent and Commutable Target Decomposition of PolSAR Data Using a Mapping From SU(4) to SO(6),
GeoRS(55), No. 6, June 2017, pp. 3396-3407.
IEEE DOI 1706
Estimation, Faraday effect, Matrix decomposition, Polarization, Synthetic aperture radar, Lie algebra, polarimetric synthetic aperture radar (PolSAR), polarimetric target decomposition (PTD), scattering, vector BibRef

Villano, M., Krieger, G., Moreira, A.,
New Insights Into Ambiguities in Quad-Pol SAR,
GeoRS(55), No. 6, June 2017, pp. 3287-3308.
IEEE DOI 1706
Azimuth, Backscatter, Doppler effect, Merging, Spaceborne radar, Synthetic aperture radar, Ambiguities, azimuth phase coding (APC), circular polarization, quadrature polarimetric (quad-pol), synthetic, aperture, radar, (SAR) BibRef

White, L.[Lori], Millard, K.[Koreen], Banks, S.[Sarah], Richardson, M.[Murray], Pasher, J.[Jon], Duffe, J.[Jason],
Moving to the RADARSAT Constellation Mission: Comparing Synthesized Compact Polarimetry and Dual Polarimetry Data with Fully Polarimetric RADARSAT-2 Data for Image Classification of Peatlands,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Chen, Q.H.[Qi-Hao], Li, L.L.[Lin-Lin], Xu, Q.[Qiao], Yang, S.[Shuai], Shi, X.[Xuguo], Liu, X.G.[Xiu-Guo],
Multi-Feature Segmentation for High-Resolution Polarimetric SAR Data Based on Fractal Net Evolution Approach,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link 1706
BibRef

Tao, C.S.[Chen-Song], Chen, S.W.[Si-Wei], Li, Y.Z.[Yong-Zhen], Xiao, S.P.[Shun-Ping],
PolSAR Land Cover Classification Based on Roll-Invariant and Selected Hidden Polarimetric Features in the Rotation Domain,
RS(9), No. 7, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Zhao, J.Q.[Jin-Qi], Yang, J.[Jie], Lu, Z.[Zhong], Li, P.X.[Ping-Xiang], Liu, W.S.[Wen-Song], Yang, L.[Le],
A Novel Method of Change Detection in Bi-Temporal PolSAR Data Using a Joint-Classification Classifier Based on a Similarity Measure,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Liu, W.S.[Wen-Song], Yang, J.[Jie], Zhao, J.Q.[Jin-Qi], Yang, L.[Le],
A Novel Method of Unsupervised Change Detection Using Multi-Temporal PolSAR Images,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Quan, S.N.[Si-Nong], Xiang, D.L.[De-Liang], Xiong, B.[Boli], Hu, C.B.[Can-Bin], Kuang, G.Y.[Gang-Yao],
A Hierarchical Extension of General Four-Component Scattering Power Decomposition,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link 1708
BibRef

Xu, F., Song, Q., Jin, Y.Q.,
Polarimetric SAR Image Factorization,
GeoRS(55), No. 9, September 2017, pp. 5026-5041.
IEEE DOI 1709
polarimetric SAR image factorization, Synthetic aperture radar, BibRef

Dong, H., Xu, X., Sui, H., Xu, F., Liu, J.,
Copula-Based Joint Statistical Model for Polarimetric Features and Its Application in PolSAR Image Classification,
GeoRS(55), No. 10, October 2017, pp. 5777-5789.
IEEE DOI 1710
geophysical techniques, CoAS, PolSAR copula-based joint statistical model, real-valued polarimetric features, Correlation, Covariance matrices, Data models, Feature extraction, Scattering, BibRef

Duan, D.F.[Ding-Feng], Wang, Y.[Yong],
An Improved Algorithm to Delineate Urban Targets with Model-Based Decomposition of PolSAR Data,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Wang, W.S.[Wen-Sheng], Gade, M.[Martin], Yang, X.F.[Xiao-Feng],
Detection of Bivalve Beds on Exposed Intertidal Flats Using Polarimetric SAR Indicators,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Chen, Y.Q.[Yan-Qiao], Jiao, L.C.[Li-Cheng], Li, Y.Y.[Yang-Yang], Zhao, J.[Jin],
Multilayer Projective Dictionary Pair Learning and Sparse Autoencoder for PolSAR Image Classification,
GeoRS(55), No. 12, December 2017, pp. 6683-6694.
IEEE DOI 1712
Dictionaries, Encoding, Feature extraction, Machine learning, Nonhomogeneous media, Scattering, sparse representation BibRef

Zhang, F.[Fan], Ni, J.[Jun], Yin, Q.A.[Qi-Ang], Li, W.[Wei], Li, Z.[Zheng], Liu, Y.F.[Yi-Fan], Hong, W.[Wen],
Nearest-Regularized Subspace Classification for PolSAR Imagery Using Polarimetric Feature Vector and Spatial Information,
RS(9), No. 11, 2017, pp. xx-yy.
DOI Link 1712
BibRef

Ni, J.[Jun], Zhang, F.[Fan], Yin, Q.A.[Qi-Ang], Li, H.C.[Heng-Chao],
Robust Weighting Nearest Regularized Subspace Classifier for PolSAR Imagery,
SPLetters(26), No. 10, October 2019, pp. 1496-1500.
IEEE DOI 1909
Training, Synthetic aperture radar, Feature extraction, Data mining, Scattering, Distance measurement, Polarimetric SAR, robust statistics BibRef

Hu, D., Anfinsen, S.N., Qiu, X., Doulgeris, A.P., Lei, B.,
Unsupervised Mixture-Eliminating Estimation of Equivalent Number of Looks for PolSAR Data,
GeoRS(55), No. 12, December 2017, pp. 6767-6779.
IEEE DOI 1712
Covariance matrices, Data models, Estimation, Scattering, Speckle, Synthetic aperture radar, Automatic processing chain, uniform window BibRef

Pincus, P., Preiss, M., Goh, A.S., Gray, D.,
Polarimetric Calibration of Circularly Polarized Synthetic Aperture Radar Data,
GeoRS(55), No. 12, December 2017, pp. 6824-6839.
IEEE DOI 1712
Calibration, Distortion, Radar antennas, Radar imaging, Radar polarimetry, Switches, Polarimetric calibration, synthetic aperture radar calibration BibRef

Chen, S.W.,
Polarimetric Coherence Pattern: A Visualization and Characterization Tool for PolSAR Data Investigation,
GeoRS(56), No. 1, January 2018, pp. 286-297.
IEEE DOI 1801
Coherence, Data visualization, Decorrelation, Radar polarimetry, Tools, Land cover classification, orientation diversity, synthetic aperture radar (SAR) BibRef

Zhang, S.X., Xing, M.D., Zhang, K.,
Characteristics Analysis and Image Processing for Full-Polarization Synthetic Aperture Radar Based on Electromagnetic Scattering From Flat Horizontal Perfect Electric Conducting Reflector,
GeoRS(56), No. 1, January 2018, pp. 313-327.
IEEE DOI 1801
Azimuth, Image processing, Imaging, Radar imaging, Receiving antennas, Synthetic aperture radar, synthetic aperture radar (SAR) BibRef

Song, W., Li, M., Zhang, P., Wu, Y., Tan, X., An, L.,
Mixture WG Gamma-MRF Model for PolSAR Image Classification,
GeoRS(56), No. 2, February 2018, pp. 905-920.
IEEE DOI 1802
Correlation, Covariance matrices, Data models, Image edge detection, Image segmentation, Mixture models, spatial-contextual information BibRef

Gou, S.P.[Shui-Ping], Qiao, X.[Xin], Zhang, X.R.[Xiang-Rong], Wang, W.F.[Wei-Fang], Du, F.F.[Fang-Fang],
Eigenvalue Analysis-Based Approach for POL-SAR Image Classification,
GeoRS(52), No. 2, February 2014, pp. 805-818.
IEEE DOI 1402
eigenvalues and eigenfunctions BibRef

Chen, W.S.[Wen-Shuai], Gou, S.P.[Shui-Ping], Wang, X.L.[Xin-Lin], Li, X.F.[Xiao-Feng], Jiao, L.C.[Li-Cheng],
Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Jiao, C.Z.[Chang-Zhe], Wang, X.L.[Xin-Lin], Gou, S.P.[Shui-Ping], Chen, W.S.[Wen-Shuai], Li, D.[Debo], Chen, C.[Chao], Li, X.F.[Xiao-Feng],
Self-Paced Convolutional Neural Network for PolSAR Images Classification,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Xue, F.T.[Fei-Teng], Lin, Y.[Yun], Hong, W.[Wen], Yin, Q.A.[Qi-Ang], Zhang, B.C.[Bing-Chen], Shen, W.J.[Wen-Jie], Zhao, Y.[Yue],
Analysis of Azimuthal Variations Using Multi-Aperture Polarimetric Entropy with Circular SAR Images,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link 1802
BibRef

Atwood, D.K., Thirion-Lefevre, L.,
Polarimetric Phase and Implications for Urban Classification,
GeoRS(56), No. 3, March 2018, pp. 1278-1289.
IEEE DOI 1804
Backscatter, Buildings, Radar polarimetry, Scattering, Synthetic aperture radar, Urban areas, Earth observing system, urban areas BibRef

Ren, B.[Bo], Hou, B.[Biao], Zhao, J.[Jin], Jiao, L.C.[Li-Cheng],
Sparse Subspace Clustering-Based Feature Extraction for PolSAR Imagery Classification,
RS(10), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Wang, Y.[Yan], He, C.[Chu], Liu, X.L.[Xin-Long], Liao, M.S.[Ming-Sheng],
A Hierarchical Fully Convolutional Network Integrated with Sparse and Low-Rank Subspace Representations for PolSAR Imagery Classification,
RS(10), No. 2, 2018, pp. xx-yy.
DOI Link 1804
BibRef

He, C.[Chu], Tu, M.X.[Ming-Xia], Xiong, D.[Dehui], Liao, M.S.[Ming-Sheng],
Nonlinear Manifold Learning Integrated with Fully Convolutional Networks for PolSAR Image Classification,
RS(12), No. 4, 2020, pp. xx-yy.
DOI Link 2003
BibRef

He, C.[Chu], He, B.[Bokun], Tu, M.X.[Ming-Xia], Wang, Y.[Yan], Qu, T.[Tao], Wang, D.W.[Ding-Wen], Liao, M.S.[Ming-Sheng],
Fully Convolutional Networks and a Manifold Graph Embedding-Based Algorithm for PolSAR Image Classification,
RS(12), No. 9, 2020, pp. xx-yy.
DOI Link 2005
BibRef

Yamaryo, A., Takatori, T., Kidera, S., Kirimoto, T.,
Range-Point Migration-Based Image Expansion Method Exploiting Fully Polarimetric Data for UWB Short-Range Radar,
GeoRS(56), No. 4, April 2018, pp. 2170-2182.
IEEE DOI 1804
Ellipsoids, Image reconstruction, Imaging, Radar imaging, Sensors, Shape, Ultra wideband radar, 3-D sensors, ultrawideband (UWB) radars BibRef

Baffelli, S., Frey, O., Werner, C., Hajnsek, I.,
Polarimetric Calibration of the Ku-Band Advanced Polarimetric Radar Interferometer,
GeoRS(56), No. 4, April 2018, pp. 2295-2311.
IEEE DOI 1804
Apertures, Calibration, Radar antennas, Radar imaging, Radar polarimetry, Ground-based radar, polarimetric calibration, polarimetric radar BibRef

Huang, X., Qiao, H., Zhang, B., Nie, X.,
Supervised Polarimetric SAR Image Classification Using Tensor Local Discriminant Embedding,
IP(27), No. 6, June 2018, pp. 2966-2979.
IEEE DOI 1804
Covariance matrices, Dimensionality reduction, Feature extraction, Matrix decomposition, Speckle, tensor local discriminant embedding BibRef

Hänsch, R.[Ronny], Hellwich, O.[Olaf],
Skipping the real world: Classification of PolSAR images without explicit feature extraction,
PandRS(140), 2018, pp. 122-132.
Elsevier DOI 1805
Random Forest, PolSAR, Classification, Feature learning BibRef

Mullissa, A.G., Perissin, D., Tolpekin, V.A., Stein, A.,
Polarimetry-Based Distributed Scatterer Processing Method for PSI Applications,
GeoRS(56), No. 6, June 2018, pp. 3371-3382.
IEEE DOI 1806
Coherence, Interferometry, Matrix decomposition, Optimization, Synthetic aperture radar, Adaptive filtering, polarimetric synthetic aperture radar interferometry BibRef

Liu, W.[Wensong], Yang, J.[Jie], Li, P.X.[Ping-Xiang], Han, Y.[Yue], Zhao, J.[Jinqi], Shi, H.T.[Hong-Tao],
A Novel Object-Based Supervised Classification Method with Active Learning and Random Forest for PolSAR Imagery,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link 1808
BibRef

Liu, C., Liao, W., Li, H., Fu, K., Philips, W.,
Unsupervised Classification of Multilook Polarimetric SAR Data Using Spatially Variant Wishart Mixture Model with Double Constraints,
GeoRS(56), No. 10, October 2018, pp. 5600-5613.
IEEE DOI 1810
Mixture models, Covariance matrices, Data models, Synthetic aperture radar, Correlation, Scattering, Task analysis, Wishart mixture model (WMM) BibRef

Wu, W., Li, H., Zhang, L., Li, X., Guo, H.,
High-Resolution PolSAR Scene Classification With Pretrained Deep Convnets and Manifold Polarimetric Parameters,
GeoRS(56), No. 10, October 2018, pp. 6159-6168.
IEEE DOI 1810
Data models, Backscatter, Synthetic aperture radar, Remote sensing, Image color analysis, Training, Optical sensors, synthetic aperture radar (SAR) BibRef

Lang, F.[Fengkai], Yang, J.[Jie], Yan, S.Y.[Shi-Yong], Qin, F.[Fachao],
Superpixel Segmentation of Polarimetric Synthetic Aperture Radar (SAR) Images Based on Generalized Mean Shift,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link 1811
BibRef

Wang, S.H.[Shui-Hua], Sun, J.D.[Jun-Ding], Phillips, P.[Preetha], Zhao, G.[Guihu], Zhang, Y.D.[Yu-Dong],
Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units,
RealTimeIP(14), No. 3, October 2018, pp. 631-642.
Springer DOI 1811
BibRef

Li, D., Zhang, Y.,
Adaptive Model-Based Classification of PolSAR Data,
GeoRS(56), No. 12, December 2018, pp. 6940-6955.
IEEE DOI 1812
Scattering, Adaptation models, Silicon, Data models, Entropy, Radar polarimetry, Radar polarimetry, scattering model, unsupervised classification BibRef

Jiang, S.[Sha], Qiu, X.L.[Xiao-Lan], Han, B.[Bing], Sun, J.[Jili], Ding, C.[Chibiao],
Error Source Analysis and Correction of GF-3 Polarimetric Data,
RS(10), No. 11, 2018, pp. xx-yy.
DOI Link 1812
BibRef

Wu, Q., Hou, B., Wen, Z., Jiao, L.,
Variational Learning of Mixture Wishart Model for PolSAR Image Classification,
GeoRS(57), No. 1, January 2019, pp. 141-154.
IEEE DOI 1901
Data models, Computational modeling, Maximum likelihood estimation, Scattering, Training, Task analysis, variational Bayesian BibRef

Shi, L.[Lei], Li, P.X.[Ping-Xiang], Yang, J.[Jie], Zhang, L.P.[Liang-Pei], Ding, X.L.[Xiao-Li], Zhao, L.[Lingli],
Co-polarization channel imbalance phase estimation by corner-reflector-like targets,
PandRS(147), 2019, pp. 255-266.
Elsevier DOI 1901
Polarimetric synthetic aperture radar, Corner reflector, Target detection, Calibration BibRef

Pallotta, L., de Maio, A., Orlando, D.,
A Robust Framework for Covariance Classification in Heterogeneous Polarimetric SAR Images and Its Application to L-Band Data,
GeoRS(57), No. 1, January 2019, pp. 104-119.
IEEE DOI 1901
Synthetic aperture radar, Covariance matrices, Symmetric matrices, Robustness, Data mining, Radar polarimetry, symmetry classification BibRef

Jung, Y.T.[Yoon Taek], Park, S.E.[Sang-Eun],
Comparative Analysis of Polarimetric SAR Calibration Methods,
RS(10), No. 12, 2018, pp. xx-yy.
DOI Link 1901
BibRef

Luzi, G.[Guido], Dematteis, N.[Niccolò],
Ku Band Terrestrial Radar Observations by Means of Circular Polarized Antennas,
RS(11), No. 3, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Liang, W.B.[Wei-Bin], Jia, Z.Z.[Zeng-Zeng], Qiu, X.L.[Xiao-Lan], Hong, J.[Jun], Zhang, Q.J.[Qing-Jun], Lei, B.[Bin], Zhang, F.[Fan], Deng, Z.G.[Zhao-Guo], Wang, A.[Aichun],
Polarimetric Calibration of the GaoFen-3 Mission Using Active Radar Calibrators and the Applicable Conditions of System Model for Radar Polarimeters,
RS(11), No. 2, 2019, pp. xx-yy.
DOI Link 1902
BibRef

Chen, Y.Q.[Yan-Qiao], Li, Y.Y.[Yang-Yang], Jiao, L.C.[Li-Cheng], Peng, C.[Cheng], Zhang, X.R.[Xiang-Rong], Shang, R.H.[Rong-Hua],
Adversarial Reconstruction-Classification Networks for PolSAR Image Classification,
RS(11), No. 4, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Bouhlel, N., Méric, S.,
Maximum-Likelihood Parameter Estimation of the Product Model for Multilook Polarimetric SAR Data,
GeoRS(57), No. 3, March 2019, pp. 1596-1611.
IEEE DOI 1903
covariance matrices, expectation-maximisation algorithm, Gaussian processes, image texture, maximum likelihood estimation, product model BibRef

Shang, R.H.[Rong-Hua], Wang, G.G.[Guang-Guang], Okoth, M.A.[Michael A.], Jiao, L.C.[Li-Cheng],
Complex-Valued Convolutional Autoencoder and Spatial Pixel-Squares Refinement for Polarimetric SAR Image Classification,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link 1903
BibRef

Chen, Y., Jiao, L., Li, Y., Li, L., Zhang, D., Ren, B., Marturi, N.,
A Novel Semicoupled Projective Dictionary Pair Learning Method for PolSAR Image Classification,
GeoRS(57), No. 4, April 2019, pp. 2407-2418.
IEEE DOI 1904
image classification, image representation, learning (artificial intelligence), radar imaging, stacked auto-encoder (SAE) BibRef

Watanabe, T., Yamada, H., Tokutake, Y., Sato, R., Yamaguchi, Y.,
Retrieval of Polarimetric Azimuthal Angular Characteristics via the Application of Target Decomposition to Spectral Domain Circular SAR Images,
GeoRS(57), No. 5, May 2019, pp. 2963-2982.
IEEE DOI 1905
data acquisition, radar imaging, radar polarimetry, synthetic aperture radar, spectral decomposition, target decomposition (TD) BibRef

Bordbari, R., Maghsoudi, Y.,
A New Target Detector Based on Subspace Projections Using Polarimetric SAR Data,
GeoRS(57), No. 5, May 2019, pp. 3025-3039.
IEEE DOI 1905
electromagnetic wave scattering, object detection, radar detection, radar imaging, radar polarimetry, speckle, target detection BibRef

Wang, R.C.[Rui-Chuan], Wang, Y.F.[Yan-Fei],
Classification of PolSAR Image Using Neural Nonlocal Stacked Sparse Autoencoders with Virtual Adversarial Regularization,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
BibRef

Yocky, D.A., West, R.D., Riley, R.M., Calloway, T.M.,
Monitoring Surface Phenomena Created by an Underground Chemical Explosion Using Fully Polarimetric VideoSAR,
GeoRS(57), No. 5, May 2019, pp. 2481-2493.
IEEE DOI 1905
data acquisition, geophysical image processing, geophysical techniques, radar polarimetry, seismic waves, VideoSAR BibRef

West, R.D., Riley, R.M.,
Polarimetric Interferometric SAR Change Detection Discrimination,
GeoRS(57), No. 6, June 2019, pp. 3091-3104.
IEEE DOI 1906
Synthetic aperture radar, Charge coupled devices, Coherence, Matrix decomposition, Radar cross-sections, Laboratories, probabilistic feature fusion (PFF) model BibRef

Koch, M.W., West, R.D., Riley, R.M., Quach, T.,
Polarimetric Synthetic-Aperture-Radar Change-Type Classification with a Hyperparameter-Free Open-Set Classifier,
PBVS18(1320-1327)
IEEE DOI 1812
Synthetic aperture radar, Coherence, Charge coupled devices, Radar tracking, Matrix decomposition, Vegetation BibRef

Qin, X.L.[Xing-Li], Yang, J.[Jie], Li, P.X.[Ping-Xiang], Sun, W.D.[Wei-Dong], Liu, W.[Wei],
A Novel Relational-Based Transductive Transfer Learning Method for PolSAR Images via Time-Series Clustering,
RS(11), No. 11, 2019, pp. xx-yy.
DOI Link 1906
BibRef

Raney, R.K.[R. Keith],
Hybrid Dual-Polarization Synthetic Aperture Radar,
RS(11), No. 13, 2019, pp. xx-yy.
DOI Link 1907
BibRef
And: Erratum: RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Bouhlel, N., Méric, S.,
Unsupervised Segmentation of Multilook Polarimetric Synthetic Aperture Radar Images,
GeoRS(57), No. 8, August 2019, pp. 6104-6118.
IEEE DOI 1908
geophysical image processing, geophysical techniques, image segmentation, Markov processes, radar imaging, polarimetric synthetic aperture radar (PolSAR) BibRef

Zhang, X.Z.[Xin-Zheng], Xia, J.[Jili], Tan, X.H.[Xiao-Heng], Zhou, X.C.[Xi-Chuan], Wang, T.[Tao],
PolSAR Image Classification via Learned Superpixels and QCNN Integrating Color Features,
RS(11), No. 15, 2019, pp. xx-yy.
DOI Link 1908
BibRef

Zhao, F., Mallorqui, J.J.,
SMF-POLOPT: An Adaptive Multitemporal Pol(DIn)SAR Filtering and Phase Optimization Algorithm for PSI Applications,
GeoRS(57), No. 9, September 2019, pp. 7135-7147.
IEEE DOI 1909
Optimization, Strain, Synthetic aperture radar, Interferometry, Coherence, Speckle, Ground deformation, speckle filtering BibRef

Li, Y.Y.[Yang-Yang], Xing, R.T.[Ruo-Ting], Jiao, L.C.[Li-Cheng], Chen, Y.Q.[Yan-Qiao], Chai, Y.T.[Ying-Te], Marturi, N.[Naresh], Shang, R.H.[Rong-Hua],
Semi-Supervised PolSAR Image Classification Based on Self-Training and Superpixels,
RS(11), No. 16, 2019, pp. xx-yy.
DOI Link 1909
BibRef

Guo, Y.[Yuwei], Sun, Z.Z.[Zhuang-Zhuang], Qu, R.[Rong], Jiao, L.C.[Li-Cheng], Liu, F.[Fang], Zhang, X.R.[Xiang-Rong],
Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Mohanty, S., Singh, G.,
Improved POLSAR Model-Based Decomposition Interpretation Under Scintillation Conditions,
GeoRS(57), No. 10, October 2019, pp. 7567-7578.
IEEE DOI 1910
fast Fourier transforms, phased array radar, radar imaging, radar polarimetry, radar receivers, remote sensing by radar, supervised classification BibRef

Zhao, F., Mallorqui, J.J.,
Coherency Matrix Decomposition-Based Polarimetric Persistent Scatterer Interferometry,
GeoRS(57), No. 10, October 2019, pp. 7819-7831.
IEEE DOI 1910
geophysical techniques, matrix decomposition, optimisation, radar imaging, radar interferometry, radar polarimetry, polarimetric persistent scatterer interferometry (PolPSI) BibRef

Yang, D., Du, L., Liu, H., Ni, W.,
Novel Polarimetric Contrast Enhancement Method Based on Minimal Clutter to Signal Ratio Subspace,
GeoRS(57), No. 11, November 2019, pp. 8570-8583.
IEEE DOI 1911
Clutter, Synthetic aperture radar, Feature extraction, Radar polarimetry, Eigenvalues and eigenfunctions, target detection BibRef

Yang, C., Hou, B., Ren, B., Hu, Y., Jiao, L.,
CNN-Based Polarimetric Decomposition Feature Selection for PolSAR Image Classification,
GeoRS(57), No. 11, November 2019, pp. 8796-8812.
IEEE DOI 1911
Feature extraction, Scattering, Matrix decomposition, Covariance matrices, Task analysis, Indexes, Data mining, polarimetric target decomposition BibRef

Wen, Z., Wu, Q., Liu, Z., Pan, Q.,
Polar-Spatial Feature Fusion Learning With Variational Generative-Discriminative Network for PolSAR Classification,
GeoRS(57), No. 11, November 2019, pp. 8914-8927.
IEEE DOI 1911
Feature extraction, Data models, Scattering, Task analysis, Covariance matrices, Adaptation models, Deep learning, variational inference BibRef

Bi, H., Xu, F., Wei, Z., Xue, Y., Xu, Z.,
An Active Deep Learning Approach for Minimally Supervised PolSAR Image Classification,
GeoRS(57), No. 11, November 2019, pp. 9378-9395.
IEEE DOI 1911
Deep learning, Neural networks, Training, Synthetic aperture radar, Remote sensing, Learning systems, Task analysis, Active learning, polarimetric synthetic aperture radar (PolSAR) image classification BibRef

Zhang, L.[Lamei], Dong, H.W.[Hong-Wei], Zou, B.[Bin],
Efficiently utilizing complex-valued PolSAR image data via a multi-task deep learning framework,
PandRS(157), 2019, pp. 59-72.
Elsevier DOI 1911
Deep learning, Convolutional neural networks, Polarimetric synthetic aperture radar (PolSAR) classification, Depthwise separable convolutions BibRef

Cao, Y.[Yice], Wu, Y.[Yan], Zhang, P.[Peng], Liang, W.K.[Wen-Kai], Li, M.[Ming],
Pixel-Wise PolSAR Image Classification via a Novel Complex-Valued Deep Fully Convolutional Network,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Chu, Z.G.[Zhi-Gang], Liu, W.[Wei], Zhang, G.F.[Gui-Fu], Kou, L.L.[Lei-Lei], Li, N.[Nan],
Continuous Monitoring of Differential Reflectivity Bias for C-Band Polarimetric Radar Using Online Solar Echoes in Volume Scans,
RS(11), No. 22, 2019, pp. xx-yy.
DOI Link 1911
BibRef

Fan, H.[Hui], Quan, S.N.[Si-Nong], Dai, D.[Dahai], Wang, X.S.[Xue-Song], Xiao, S.P.[Shun-Ping],
Seven-Component Model-Based Decomposition for PolSAR Data with Sophisticated Scattering Models,
RS(11), No. 23, 2019, pp. xx-yy.
DOI Link 1912
BibRef

Zhao, J., Datcu, M., Zhang, Z., Xiong, H., Yu, W.,
Contrastive-Regulated CNN in the Complex Domain: A Method to Learn Physical Scattering Signatures From Flexible PolSAR Images,
GeoRS(57), No. 12, December 2019, pp. 10116-10135.
IEEE DOI 1912
Scattering, Radar polarimetry, Matrix decomposition, Radar imaging, Synthetic aperture radar, Task analysis, polarimetric synthetic aperture radar (PolSAR) BibRef

Yin, J., Papathanassiou, K.P., Yang, J.,
Formalism of Compact Polarimetric Descriptors and Extension of the Delta-alpha_B/alpha_B Method for General Compact-Pol SAR,
GeoRS(57), No. 12, December 2019, pp. 10322-10335.
IEEE DOI 1912
Scattering, Synthetic aperture radar, Backscatter, Standards, Imaging, Radar imaging, Radar polarimetry, Classification, target decomposition BibRef

Carvalho, N.C.R.L.[Naiallen Carolyne Rodrigues Lima], Sant'Anna Bins, L.[Leonardo], Siqueira Sant'Anna, S.J.[Sidnei João],
Analysis of Stochastic Distances and Wishart Mixture Models Applied on PolSAR Images,
RS(11), No. 24, 2019, pp. xx-yy.
DOI Link 1912
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Gadhiya, T., Roy, A.K.,
Superpixel-Driven Optimized Wishart Network for Fast PolSAR Image Classification Using Global k-Means Algorithm,
GeoRS(58), No. 1, January 2020, pp. 97-109.
IEEE DOI 2001
Matrix decomposition, Scattering, Synthetic aperture radar, Microwave imaging, Microwave theory and techniques, revised Wishart distance (RWD) BibRef

Shi, L.[Lei], Li, P.X.[Ping-Xiang], Yang, J.[Jie], Sun, H.[Hanwei], Zhao, L.[Lingli], Zhang, L.P.[Liang-Pei],
Polarimetric calibration for the distributed Gaofen-3 product by an improved unitary zero helix framework,
PandRS(160), 2020, pp. 229-243.
Elsevier DOI 2001
Polarimetric synthetic aperture radar, Gaofen-3, Image quality, Calibration BibRef

Luo, S., Sarabandi, K., Tong, L., Guo, S.,
Unsupervised Multiregion Partitioning of Fully Polarimetric SAR Images With Advanced Fuzzy Active Contours,
GeoRS(58), No. 2, February 2020, pp. 1475-1486.
IEEE DOI 2001
Active contours, Image segmentation, Radar polarimetry, Covariance matrices, Image edge detection, Data models, Scattering, unsupervised BibRef

Wang, F., Pang, C., Wu, H., Li, Y., Wang, X.,
Designing Constant Modulus Complete Complementary Sequence With High Doppler Tolerance for Simultaneous Polarimetric Radar,
SPLetters(26), No. 12, December 2019, pp. 1837-1841.
IEEE DOI 2001
correlation methods, Doppler shift, iterative methods, radar polarimetry, sequences, Doppler tolerance BibRef

Shao, S.Q.[Shi-Qing], Zhao, K.[Kun], Chen, H.[Haonan], Chen, J.J.[Jian-Jun], Huang, H.[Hao],
Validation of a Multilag Estimator on NJU-CPOL and a Hybrid Approach for Improving Polarimetric Radar Data Quality,
RS(12), No. 1, 2020, pp. xx-yy.
DOI Link 2001
BibRef

Dong, H.W.[Hong-Wei], Zhang, L.M.[La-Mei], Zou, B.[Bin],
PolSAR Image Classification with Lightweight 3D Convolutional Networks,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Wu, Q.[Qian], Hou, B.[Biao], Wen, Z.[Zaidao], Ren, Z.L.[Zhong-Le], Ren, B.[Bo], Jiao, L.C.[Li-Cheng],
Structure Label Matrix Completion for PolSAR Image Classification,
RS(12), No. 3, 2020, pp. xx-yy.
DOI Link 2002
BibRef

Wang, J., Hou, B., Jiao, L., Wang, S.,
POL-SAR Image Classification Based on Modified Stacked Autoencoder Network and Data Distribution,
GeoRS(58), No. 3, March 2020, pp. 1678-1695.
IEEE DOI 2003
Autoencoder (AE) network, classification network, coherency matrix, image classification, Wishart distribution BibRef

Li, L., Zeng, J., Jiao, L., Liang, P., Liu, F., Yang, S.,
Online Active Extreme Learning Machine With Discrepancy Sampling for PolSAR Classification,
GeoRS(58), No. 3, March 2020, pp. 2027-2041.
IEEE DOI 2003
Extreme learning machine (ELM), margin sampling (MS), online active extreme learning machine (OA-ELM) algorithm, polarimetric synthetic aperture radar (PolSAR) classification BibRef

Villano, M., Krieger, G., Steinbrecher, U., Moreira, A.,
Simultaneous Single-/Dual- and Quad-Pol SAR Imaging Over Swaths of Different Widths,
GeoRS(58), No. 3, March 2020, pp. 2096-2103.
IEEE DOI 2003
Synthetic aperture radar, Transmitting antennas, Radar imaging, Azimuth, Image resolution, Radar polarimetry, Ambiguities, Tandem-L BibRef

Yin, J.J.[Jun-Jun], Liu, X.Y.[Xi-Yun], Yang, J.[Jian], Chu, C.Y.[Chih-Yuan], Chang, Y.L.[Yang-Lang],
PolSAR Image Classification Based on Statistical Distribution and MRF,
RS(12), No. 6, 2020, pp. xx-yy.
DOI Link 2003
BibRef

Singh, G., Mohanty, S., Yamazaki, Y., Yamaguchi, Y.,
Physical Scattering Interpretation of POLSAR Coherency Matrix by Using Compound Scattering Phenomenon,
GeoRS(58), No. 4, April 2020, pp. 2541-2556.
IEEE DOI 2004
Anechoic chamber, decomposition, phase delay, polarimetric synthetic aperture radar (POLSAR), polarimetry, scattering matrix BibRef

Li, L.L.[Ling-Ling], Ma, L.Y.[Li-Yuan], Jiao, L.C.[Li-Cheng], Liu, F.[Fang], Sun, Q.[Qigong], Zhao, J.[Jin],
Complex Contourlet-CNN for polarimetric SAR image classification,
PR(100), 2020, pp. 107110.
Elsevier DOI 2005
Complex Contourlet-CNN, Multiscale deep Contourlet filter banks, Polarimetric SARimage classification BibRef

Mohanty, S.[Shradha], Khati, U.[Unmesh], Singh, G.[Gulab], Chandrasekhar, E.,
Correction of amplitude scintillation effect in fully polarimetric SAR coherency matrix data,
PandRS(164), 2020, pp. 184-199.
Elsevier DOI 2005
ALOS-2/PALSAR-2, Amplitude scintillations, Coherency matrix, Correction, Discrete wavelet transform (DWT), POLSAR BibRef

Hu, C., Li, W., Wang, R., Long, T., Drake, V.A.,
Discrimination of Parallel and Perpendicular Insects Based on Relative Phase of Scattering Matrix Eigenvalues,
GeoRS(58), No. 6, June 2020, pp. 3927-3940.
IEEE DOI 2005
Discrimination of parallel and perpendicular insects, entomological radar, insect, multifrequency and fully polarimetric radar BibRef

Shi, L., Li, P., Yang, J., Zhang, L., Ding, X., Zhao, L.,
Polarimetric SAR Calibration and Residual Error Estimation When Corner Reflectors Are Unavailable,
GeoRS(58), No. 6, June 2020, pp. 4454-4471.
IEEE DOI 2005
Polarimetric calibration (PolCal), quality evaluation, synthetic aperture radar (SAR) BibRef

Liu, H.Y.[Hong-Ying], Luo, R.[Ruyi], Shang, F.[Fanhua], Meng, X.C.[Xue-Chun], Gou, S.P.[Shui-Ping], Hou, B.[Biao],
Semi-Supervised Deep Metric Learning Networks for Classification of Polarimetric SAR Data,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Thirion-Lefevre, L.[Laetitia], Guinvarc'h, R.[Régis], Colin-Koeniguer, E.[Elise],
The Combined Effect of Orientation Angle and Material on PolSAR Images of Urban Areas,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Huang, X.Y.[Xia-Yuan], Nie, X.L.[Xiang-Li], Qiao, H.[Hong],
PolSAR Image Feature Extraction via Co-Regularized Graph Embedding,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Islam, M.N.[Md Nazrul], Tahtali, M.[Murat], Pickering, M.R.[Mark R.],
Hybrid Fusion-Based Background Segmentation in Multispectral Polarimetric Imagery,
RS(12), No. 11, 2020, pp. xx-yy.
DOI Link 2006
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Bi, H., Xu, L., Cao, X., Xue, Y., Xu, Z.,
Polarimetric SAR Image Semantic Segmentation With 3D Discrete Wavelet Transform and Markov Random Field,
IP(29), 2020, pp. 6601-6614.
IEEE DOI 2007
Image segmentation, Feature extraction, Semantics, Multiresolution analysis, Task analysis, Speckle, Markov random field (MRF) BibRef

Canty, M.J.[Morton J.], Nielsen, A.A.[Allan A.], Skriver, H.[Henning], Conradsen, K.[Knut],
Wishart-Based Adaptive Temporal Filtering of Polarimetric SAR Imagery,
RS(12), No. 15, 2020, pp. xx-yy.
DOI Link 2008
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Qin, X.L.[Xing-Li], Yang, J.[Jie], Zhao, L.L.[Ling-Li], Li, P.X.[Ping-Xiang], Sun, K.[Kaimin],
A Novel Deep Forest-Based Active Transfer Learning Method for PolSAR Images,
RS(12), No. 17, 2020, pp. xx-yy.
DOI Link 2009
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Touzi, R., Shimada, M., Motohka, T., Nedelcu, S.,
Assessment of PALSAR-2 Compact Non-Circularity Using Amazonian Rainforests,
GeoRS(58), No. 10, October 2020, pp. 7472-7482.
IEEE DOI 2009
Synthetic aperture radar, Polarization, Calibration, Distortion, Adaptation models, Radar antennas, Antennas, calibration, stokes parameters BibRef

Wang, S., Guo, Y., Hua, W., Liu, X., Song, G., Hou, B., Jiao, L.,
Semi-Supervised PolSAR Image Classification Based on Improved Tri-Training With a Minimum Spanning Tree,
GeoRS(58), No. 12, December 2020, pp. 8583-8597.
IEEE DOI 2012
Reliability, Training, Matrix decomposition, Scattering, Clustering algorithms, Lead, Image color analysis, Tri-training BibRef

Wang, L.[Lei], Xu, X.[Xin], Gui, R.[Rong], Yang, R.[Rui], Pu, F.L.[Fang-Ling],
Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link 2012
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Cao, Y.[Yice], Wu, Y.[Yan], Li, M.[Ming], Liang, W.K.[Wen-Kai], Zhang, P.[Peng],
PolSAR Image Classification Using a Superpixel-Based Composite Kernel and Elastic Net,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
BibRef

Yin, J.J.[Jun-Jun], Yang, J.[Jian],
Framework for Reconstruction of Pseudo Quad Polarimetric Imagery from General Compact Polarimetry,
RS(13), No. 3, 2021, pp. xx-yy.
DOI Link 2102
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An, W., Lin, M.,
Generalized Polarimetric Entropy: Polarimetric Information Quantitative Analyses of Model-Based Incoherent Polarimetric Decomposition,
GeoRS(59), No. 3, March 2021, pp. 2041-2057.
IEEE DOI 2103
Matrix decomposition, Entropy, Scattering, Analytical models, Eigenvalues and eigenfunctions, Measurement, synthetic aperture radar (SAR) BibRef

Zhang, Y.C.[Ya-Chao], Lai, X.[Xuan], Xie, Y.[Yuan], Qu, Y.Y.[Yan-Yun], Li, C.H.[Cui-Hua],
Geometry-Aware Discriminative Dictionary Learning for PolSAR Image Classification,
RS(13), No. 6, 2021, pp. xx-yy.
DOI Link 2104
BibRef

Dey, S.[Subhadip], Bhattacharya, A.[Avik], Ratha, D.[Debanshu], Mandal, D.[Dipankar], Frery, A.C.[Alejandro C.],
Target Characterization and Scattering Power Decomposition for Full and Compact Polarimetric SAR Data,
GeoRS(59), No. 5, May 2021, pp. 3981-3998.
IEEE DOI 2104
Synthetic aperture radar, Matrix decomposition, Radar polarimetry, Polarization, Receiving antennas, target decomposition BibRef

Wang, J.L.[Jian-Long], Hou, B.[Biao], Jiao, L.C.[Li-Cheng], Wang, S.[Shuang],
Representative Learning via Span-Based Mutual Information for PolSAR Image Classification,
RS(13), No. 9, 2021, pp. xx-yy.
DOI Link 2105
BibRef

Wu, Q.[Qian], Hou, B.[Biao], Wen, Z.D.[Zai-Dao], Ren, Z.L.[Zhong-Le], Jiao, L.C.[Li-Cheng],
Cost-Sensitive Latent Space Learning for Imbalanced PolSAR Image Classification,
GeoRS(59), No. 6, June 2021, pp. 4802-4817.
IEEE DOI 2106
Task analysis, Scattering, Feature extraction, Matrix converters, Polarimetric synthetic aperture radar, Support vector machines, multi-task learning BibRef

Ren, B.[Bo], Zhao, Y.Y.[Yang-Yang], Hou, B.[Biao], Chanussot, J.[Jocelyn], Jiao, L.C.[Li-Cheng],
A Mutual Information-Based Self-Supervised Learning Model for PolSAR Land Cover Classification,
GeoRS(59), No. 11, November 2021, pp. 9224-9237.
IEEE DOI 2111
Feature extraction, Task analysis, Data models, Data mining, Scattering, Mutual information, Covariance matrices, self-supervised learning (SSL) BibRef

Liang, L.T.[Li-Ting], Zhang, Y.H.[Yun-Hua], Li, D.[Dong],
A Novel Method for Polarization Orientation Angle Estimation Over Steep Terrain and Comparison of Deorientation Algorithms,
GeoRS(59), No. 6, June 2021, pp. 4790-4801.
IEEE DOI 2106
Radar imaging, Estimation, Polarization, Wrapping, Geometry, Circular polarization algorithm (CPA), steep terrain BibRef

Alijani, Z.[Zohreh], Lindsay, J.[John], Chabot, M.[Melanie], Rowlandson, T.[Tracy], Berg, A.[Aaron],
Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Zuo, Y.X.[Yi-Xin], Guo, J.[Jiayi], Zhang, Y.T.[Yue-Ting], Lei, B.[Bin], Hu, Y.X.[Yu-Xin], Wang, M.Z.[Ming-Zhi],
A Deep Vector Quantization Clustering Method for Polarimetric SAR Images,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Gui, R.[Rong], Xu, X.[Xin], Yang, R.[Rui], Wang, L.[Lei], Pu, F.L.[Fang-Ling],
Statistical Scattering Component-Based Subspace Alignment for Unsupervised Cross-Domain PolSAR Image Classification,
GeoRS(59), No. 7, July 2021, pp. 5449-5463.
IEEE DOI 2106
Scattering, Synthetic aperture radar, Sensors, Radar imaging, Image sensors, Remote sensing, Land-cover classification, unsupervised domain adaptation (DA) BibRef

Wang, Z.Z.[Ze-Zhong], Zeng, Q.M.[Qi-Ming], Jiao, J.[Jian],
An Adaptive Decomposition Approach with Dipole Aggregation Model for Polarimetric SAR Data,
RS(13), No. 13, 2021, pp. xx-yy.
DOI Link 2107
BibRef

Wang, M.[Mou], Wei, S.J.[Shun-Jun], Liang, J.[Jiadian], Zhou, Z.C.[Zi-Chen], Qu, Q.Z.[Qi-Zhe], Shi, J.[Jun], Zhang, X.L.[Xiao-Ling],
TPSSI-Net: Fast and Enhanced Two-Path Iterative Network for 3D SAR Sparse Imaging,
IP(30), 2021, pp. 7317-7332.
IEEE DOI 2108
Training, Deep learning, Imaging, Radar polarimetry, Loss measurement, sparse representation BibRef

Ni, J.[Jun], Zhang, F.[Fan], Yin, Q.[Qiang], Zhou, Y.S.[Yong-Sheng], Li, H.C.[Heng-Chao], Hong, W.[Wen],
Random Neighbor Pixel-Block-Based Deep Recurrent Learning for Polarimetric SAR Image Classification,
GeoRS(59), No. 9, September 2021, pp. 7557-7569.
IEEE DOI 2109
Feature extraction, Training, Covariance matrices, Matrix decomposition, Data mining, Scattering, Training data, polarimetric synthetic aperture radar (PolSAR) BibRef

Tang, V.H.[Van Ha], Bouzerdoum, A.[Abdesselam], Phung, S.L.[Son Lam],
Variational Bayesian Compressive Multipolarization Indoor Radar Imaging,
GeoRS(59), No. 9, September 2021, pp. 7459-7474.
IEEE DOI 2109
Bayes methods, Radar imaging, Image reconstruction, Radar, Imaging, Adaptation models, Mathematical model, wall-clutter mitigation BibRef

Wu, G.Q.[Guo-Qing], Li, Y.Z.[Yong-Zhen], Chen, S.W.[Si-Wei],
Polarimetric Model-Based Decomposition with Refined Double-Bounce Orientation Angle and Scattering Model,
RS(13), No. 16, 2021, pp. xx-yy.
DOI Link 2109
BibRef

Zhao, T.[Tiehua], Wu, Q.H.[Qi-Hua], Zhao, F.[Feng], Xu, Z.M.[Zhi-Ming], Xiao, S.[Shunping],
A Full-Polarization Radar Image Reconstruction Method with Orthogonal Coding Apertures,
RS(13), No. 22, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Tan, X.F.[Xiao-Feng], Li, M.[Ming], Zhang, P.[Peng], Wu, Y.[Yan], Song, W.Y.[Wan-Ying],
Deep Triplet Complex-Valued Network for PolSAR Image Classification,
GeoRS(59), No. 12, December 2021, pp. 10179-10196.
IEEE DOI 2112
Feature extraction, Synthetic aperture radar, Covariance matrices, Neural networks, Measurement, polarimetric synthetic aperture radar (PolSAR) BibRef

Jafarzadeh, H.[Hamid], Mahdianpari, M.[Masoud], Gill, E.[Eric], Mohammadimanesh, F.[Fariba], Homayouni, S.[Saeid],
Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation,
RS(13), No. 21, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Qin, X.X.[Xian-Xiang], Zou, H.X.[Huan-Xin], Yu, W.[Wangsheng], Wang, P.[Peng],
Superpixel-Oriented Classification of PolSAR Images Using Complex-Valued Convolutional Neural Network Driven by Hybrid Data,
GeoRS(59), No. 12, December 2021, pp. 10094-10111.
IEEE DOI 2112
Feature extraction, Training, Task analysis, Data models, Data mining, Radar polarimetry, superpixel regularization BibRef

Zhang, J.J.[Jing-Jing], Hong, W.[Wen], Xu, F.[Feng], Jin, Y.Q.[Ya-Qiu],
On the Model of Polarimetric SAR Calibration Using Distributed Targets,
GeoRS(59), No. 12, December 2021, pp. 10112-10125.
IEEE DOI 2112
Covariance matrices, Calibration, Synthetic aperture radar, Mathematical model, Signal to noise ratio, Pollution measurement, synthetic aperture radar (SAR) BibRef

Zhang, J.J.[Jing-Jing], Hong, W.[Wen], Jin, Y.Q.[Ya-Qiu],
On the Method of Polarimetric SAR Calibration Using Distributed Targets,
GeoRS(60), 2022, pp. 1-16.
IEEE DOI 2112
Calibration, Crosstalk, Covariance matrices, Mathematical model, Estimation, Synthetic aperture radar, Linear matrix inequalities, synthetic aperture radar (SAR) BibRef

Zhang, Y.W.[Yong-Wei], Wang, W.[Wei], Deng, Y.K.[Yun-Kai], Zhang, Z.M.[Zhi-Min], Wang, N.[Nan], Lang, Y.[Yu], Zhao, P.F.[Peng-Fei], Wang, R.[Robert],
Ambiguity Suppression of Cross-Pol Signals by DPCA With DBF Reflector for Hybrid/±p/4 Quad-Pol SAR,
GeoRS(60), 2022, pp. 1-13.
IEEE DOI 2112
Synthetic aperture radar, Azimuth, Spaceborne radar, Reconstruction algorithms, Hybrid power systems, Doppler effect, synthetic aperture radar (SAR) BibRef

Yang, L.[Lei], Zhang, S.[Su], Fang, C.[Cheng], Wu, R.B.[Ren-Biao], Han, P.[Ping], Xing, M.D.[Meng-Dao],
Structure-Awareness SAR Imagery by Exploiting Structure Tensor TV Regularization Under Multitask Learning Framework,
GeoRS(60), 2022, pp. 1-15.
IEEE DOI 2112
Synthetic aperture radar, Radar polarimetry, Radar, TV, Convex functions, Tensors, Radar imaging, synthetic aperture radar (SAR) BibRef

Zhang, Y.Y.[Yan-Yan], Chang, S.[Sheng], Wang, R.[Robert], Li, P.[Peng], Zhang, Y.W.[Yong-Wei], Deng, Y.K.[Yun-Kai],
A Novel Weighted Amplitude Modulation (WAM) System for Ambiguity Suppression of Spaceborne Hybrid Quad-Pol SAR,
RS(14), No. 1, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Hou, W.T.[Wen-Tao], Zhao, F.J.[Feng-Jun], Liu, X.Q.[Xiu-Qing], Liu, D.C.[Da-Cheng], Han, Y.H.[Yong-Hui], Gao, Y.[Yao], Wang, R.[Robert],
Hybrid Compact Polarimetric SAR Calibration Considering the Amplitude and Phase Coefficients Inconsistency,
RS(14), No. 2, 2022, pp. xx-yy.
DOI Link 2201
BibRef

Alcoba, M.[Matias], Andrieu, H.[Hervé], Gosset, M.[Marielle],
An Inverse Method for Drop Size Distribution Retrieval from Polarimetric Radar at Attenuating Frequency,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

He, Y.M.[Yao-Min], Yang, J.[Jian],
Polarization Estimation with a Single Vector Sensor for Radar Detection,
RS(14), No. 5, 2022, pp. xx-yy.
DOI Link 2203
BibRef

Wang, J.L.[Jian-Long], Hou, B.[Biao], Ren, B.[Bo], Zhang, Y.[Yake], Yang, M.J.[Mei-Juan], Wang, S.[Shuang], Jiao, L.C.[Li-Cheng],
Parameter selection of Touzi decomposition and a distribution improved autoencoder for PolSAR image classification,
PandRS(186), 2022, pp. 246-266.
Elsevier DOI 2203
Polarization decomposition, Data distribution, Touzi decomposition, Parameter selection, Feature extraction, Autoencoder network BibRef

Gomez, L.[Luis], Wu, J.[Jie], Frery, A.C.[Alejandro C.],
Non-Local Means Filters for Full Polarimetric Synthetic Aperture Radar Images with Stochastic Distances,
IPOL(12), 2022, pp. 142-172.
DOI Link 2205
Code, SAR Filters. BibRef

Torres, L.[Leonardo], Medeiros, A.C.[Antonio C.], Frery, A.C.[Alejandro C.],
Polarimetric SAR Image Smoothing with Stochastic Distances,
CIARP12(674-681).
Springer DOI 1209
BibRef

Yu, T.[Teng], Li, M.[Muyang], Li, W.D.[Wei-Dong], Mao, H.F.[Hua-Feng], Wang, R.[Rui], Hu, C.[Cheng], Long, T.[Teng],
Polarimetric Calibration Technique for a Fully Polarimetric Entomological Radar Based on Antenna Rotation,
RS(14), No. 7, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Li, X.J.[Xiu-Juan], Liu, Y.X.[Yong-Xin], Huang, P.P.[Ping-Ping], Liu, X.L.[Xiao-Long], Tan, W.X.[Wei-Xian], Fu, W.X.[Wen-Xue], Li, C.M.[Chun-Ming],
A Hybrid Polarimetric Target Decomposition Algorithm with Adaptive Volume Scattering Model,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Cui, Y.H.[Yuan-Hao], Liu, F.[Fang], Liu, X.[Xu], Li, L.L.[Ling-Ling], Qian, X.X.[Xiao-Xue],
TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Touzi, R.[Ridha], Shimada, M.[Masanobu], Motohka, T.[Takeshi],
Calibration and Validation of Polarimetric ALOS2-PALSAR2,
RS(14), No. 10, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Li, M.[Meilin], Zou, H.X.[Huan-Xin], Qin, X.X.[Xian-Xiang], Dong, Z.[Zhen], Sun, L.[Li], Wei, J.[Juan],
Efficient Superpixel Generation for Polarimetric SAR Images with Cross-Iteration and Hexagonal Initialization,
RS(14), No. 12, 2022, pp. xx-yy.
DOI Link 2206
BibRef

Ren, B.[Bo], Chen, M.Q.[Meng-Qian], Hou, B.[Biao], Hong, D.F.[Dan-Feng], Ma, S.B.[Shi-Bin], Chanussot, J.[Jocelyn], Jiao, L.C.[Li-Cheng],
PolSAR Scene Classification via Low-Rank Constrained Multimodal Tensor Representation,
RS(14), No. 13, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Zhong, T.T.[Tian-Tian], Tao, H.[Haihong], Lan, L.[Lan],
Multi-Dimensional Parameter Estimation in Polarimetric ULA with Cross-Distribution Dipole Pairs,
RS(14), No. 15, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Han, B.B.[Bin-Bin], Han, P.[Ping], Cheng, Z.[Zheng],
Object-Oriented Unsupervised Classification of PolSAR Images Based on Image Block,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Sun, J.[Jili], Geng, L.[Lingdong], Wang, Y.Z.[Yi-Ze],
A Hybrid Model Based on Superpixel Entropy Discrimination for PolSAR Image Classification,
RS(14), No. 16, 2022, pp. xx-yy.
DOI Link 2208
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Fu, S.L.[Shi-Lei], Xu, F.[Feng],
Differentiable SAR Renderer and Image-Based Target Reconstruction,
IP(31), 2022, pp. 6679-6693.
IEEE DOI 2211
Radar polarimetry, Synthetic aperture radar, Radar imaging, Image reconstruction, Scattering, Radar, inverse SAR (ISAR) BibRef

Ferreira, J.A.[Jodavid A.], Nascimento, A.D.C.[Abraão D. C.], Frery, A.C.[Alejandro C.],
PolSAR Models with Multimodal Intensities,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
BibRef

Guo, R.[Rui], Zhao, X.P.[Xiao-Peng], Zang, B.[Bo], Liang, Y.[Yi], Bai, J.[Jian], Guo, L.[Liang],
A Refined Model for Quad-Polarimetric Reconstruction from Compact Polarimetric Data,
RS(14), No. 20, 2022, pp. xx-yy.
DOI Link 2211
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Imani, M.[Maryam],
Polarimetric SAR image classification using binary coding-based polarimetric-morphological features,
IET-IPR(16), No. 14, 2022, pp. 3715-3736.
DOI Link 2212
BibRef

Yao, H.[Hang], Fu, B.[Bolin], Zhang, Y.[Ya], Li, S.Z.[Sun-Zhe], Xie, S.Y.[Shu-Yu], Qin, J.L.[Jiao-Ling], Fan, D.L.[Dong-Lin], Gao, E.[Ertao],
Combination of Hyperspectral and Quad-Polarization SAR Images to Classify Marsh Vegetation Using Stacking Ensemble Learning Algorithm,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Qin, X.X.[Xian-Xiang], Zhang, Y.N.[Yan-Ning], Li, Y.[Ying], Cheng, Y.[Yinglei], Yu, W.[Wangsheng], Wang, P.[Peng], Zou, H.X.[Huan-Xin],
Distance Measures of Polarimetric SAR Image Data: A Survey,
RS(14), No. 22, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Liu, M.L.[Ming-Liang], Deng, Y.K.[Yun-Kai], Han, C.Z.[Chuan-Zhao], Hou, W.T.[Wen-Tao], Gao, Y.[Yao], Wang, C.L.[Chun-Le], Liu, X.Q.[Xiu-Qing],
An Innovative Supervised Classification Algorithm for PolSAR Image Based on Mixture Model and MRF,
RS(14), No. 21, 2022, pp. xx-yy.
DOI Link 2212
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Tang, R.[Rui], Pu, F.L.[Fang-Ling], Yang, R.[Rui], Xu, Z.Z.[Zhao-Zhuo], Xu, X.[Xin],
Multi-Domain Fusion Graph Network for Semi-Supervised PolSAR Image Classification,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
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Radman, A.[Ali], Mahdianpari, M.[Masoud], Brisco, B.[Brian], Salehi, B.[Bahram], Mohammadimanesh, F.[Fariba],
Dual-Branch Fusion of Convolutional Neural Network and Graph Convolutional Network for PolSAR Image Classification,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Zhang, C.[Chuang], Mu, Y.X.[Ya-Xin], Xia, Z.H.[Zheng-Huan], Jin, S.C.[Shi-Chao], Yue, F.Z.[Fu-Zhan], Liu, X.[Xin], Zhang, L.Q.[Lan-Qing], Tian, Z.X.[Zhi-Xin], Liu, Z.Q.[Zong-Qiang], Zhang, Y.[Yao], Gao, W.N.[Wen-Ning], Zhang, T.[Tao], Zhao, Z.L.[Zhi-Long], Zhang, Y.[Ying],
Feature Extraction for Moving Targets Based on the Statistical Characteristics of Echo Amplitude with the L-Band Fully Polarimetric Radar,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Chen, Y.[Yifan], Zhang, L.[Lamei], Zou, B.[Bin], Gu, G.H.[Gui-Hua],
Polarimetric SAR Decomposition Method Based on Modified Rotational Dihedral Model,
RS(15), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Fang, Z.[Zheng], Zhang, G.[Gong], Dai, Q.J.[Qi-Jun], Xue, B.[Biao], Wang, P.[Peng],
Hybrid Attention-Based Encoder-Decoder Fully Convolutional Network for PolSAR Image Classification,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Arima, Y.[Yuya], Moriyama, T.[Toshifumi], Yamaguchi, Y.[Yoshio], Nakamura, R.[Ryosuke], Tsutsumi, C.[Chiaki], Kojima, S.[Shoichiro],
Construction of a Database of Pi-SAR2 Observation Data by Calibration and Scattering Power Decomposition Using the ABCI,
RS(15), No. 3, 2023, pp. xx-yy.
DOI Link 2302
airborne polarimetric synthetic aperture radar. Needs calibration based on elevation. BibRef

Li, Z.C.[Ze-Chen], Li, H.C.[Heng-Chao], Gao, G.[Gui], Hua, Z.X.[Ze-Xi], Zhang, F.[Fan], Hong, W.[Wen],
Unsupervised classification of polarimetric SAR images via SVGp0MM with extended variational inference,
PandRS(196), 2023, pp. 256-269.
Elsevier DOI 2302
Polarimetric synthetic aperture radar, Unsupervised classification, Variational inference, Remote sensing BibRef

Ciuca, M.[Madalina], Vasile, G.[Gabriel], Anghel, A.[Andrei], Gay, M.[Michel], Ciochina, S.[Silviu],
Real Representation of the Polarimetric Scattering Matrix for Monostatic Radar,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Li, X.B.[Xiao-Bo], Yan, L.[Lei], Qi, P.F.[Peng-Fei], Zhang, L.P.[Li-Ping], Goudail, F.[François], Liu, T.[Tiegen], Zhai, J.S.[Jing-Sheng], Hu, H.F.[Hao-Feng],
Polarimetric Imaging via Deep Learning: A Review,
RS(15), No. 6, 2023, pp. 1540.
DOI Link 2304
BibRef

Dong, H.W.[Hong-Wei], Si, L.[Lingyu], Qiang, W.W.[Wen-Wen], Miao, W.[Wuxia], Zheng, C.[Changwen], Wu, Y.[Yuquan], Zhang, L.[Lamei],
A Polarimetric Scattering Characteristics-Guided Adversarial Learning Approach for Unsupervised PolSAR Image Classification,
RS(15), No. 7, 2023, pp. 1782.
DOI Link 2304
BibRef

Guo, H.L.[Hang-Lan], Zhao, X.J.[Xing-Jie], Liu, X.Q.[Xiu-Qing], Yu, W.D.[Wei-Dong],
Channel Imbalance Calibration Based on the Zero Helix of Bragg-like Targets,
RS(15), No. 7, 2023, pp. 1810.
DOI Link 2304
polarimetric calibration. BibRef

Zhao, L.[Lei], Chen, E.[Erxue], Li, Z.[Zengyuan], Fan, Y.X.[Ya-Xiong], Xu, K.[Kunpeng],
Radiometric Terrain Correction Method Based on RPC Model for Polarimetric SAR Data,
RS(15), No. 7, 2023, pp. 1909.
DOI Link 2304
BibRef

Jenerowicz, A.[Agnieszka], Wierzbicki, D.[Damian], Kedzierski, M.[Michal],
Radiometric Correction with Topography Influence of Multispectral Imagery Obtained from Unmanned Aerial Vehicles,
RS(15), No. 8, 2023, pp. 2059.
DOI Link 2305
BibRef

de Borba, A.A.[Anderson A.], Muhuri, A.[Arnab], Marengoni, M.[Mauricio], Frery, A.C.[Alejandro C.],
Feature Selection for Edge Detection in PolSAR Images,
RS(15), No. 9, 2023, pp. xx-yy.
DOI Link 2305
BibRef

Zheng, X.L.[Xiao-Long], Guan, D.D.[Dong-Dong], Li, B.[Bangjie], Chen, Z.S.[Zheng-Sheng], Pan, L.[Lefei],
A Novel Edge Detection Method for Multi-Temporal PolSAR Images Based on the SIRV Model and a SDAN-Based 3D Gaussian-like Kernel,
RS(15), No. 10, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Wang, W.K.[Wen-Ke], Wang, J.L.[Jian-Long], Lu, B.[Bibo], Liu, B.[Boyuan], Zhang, Y.[Yake], Wang, C.Y.[Chun-Yang],
MCPT: Mixed Convolutional Parallel Transformer for Polarimetric SAR Image Classification,
RS(15), No. 11, 2023, pp. 2936.
DOI Link 2306
BibRef

Yuan, M.[Mingchen], Zhang, L.[Liang], Wang, Y.H.[Yan-Hua], Han, C.[Chang],
Polarimetric Range Extended Target Detection via Adaptive Range Weighted Feature Extraction,
RS(15), No. 11, 2023, pp. 2929.
DOI Link 2306
BibRef

Li, Y.Z.[Yong-Zhen], Liu, Y.[Yemin], Liu, X.H.[Xing-Hua], Xing, S.Q.[Shi-Qi], Lv, H.F.[Han-Feng], Wu, G.Q.[Guo-Qing],
Improved General Polarimetric Model-Based Decomposition for Coherency Matrix,
RS(15), No. 11, 2023, pp. 2899.
DOI Link 2306
BibRef

Sun, J.[Jun], Yang, S.Q.[Shi-Qi], Gao, X.S.[Xue-Song], Ou, D.H.[Ding-Hua], Tian, Z.N.[Zhao-Nan], Wu, J.[Jing], Wang, M.[Mantao],
MASA-SegNet: A Semantic Segmentation Network for PolSAR Images,
RS(15), No. 14, 2023, pp. 3662.
DOI Link 2307
BibRef

Han, W.T.[Wen-Tao], Fu, H.Q.[Hai-Qiang], Zhu, J.J.[Jian-Jun], Zhang, S.[Shurong], Xie, Q.H.[Qing-Hua], Hu, J.[Jun],
A polarimetric projection-based scattering characteristics extraction tool and its application to PolSAR image classification,
PandRS(202), 2023, pp. 314-333.
Elsevier DOI 2308
Polarimetric projection, Scattering characteristics extraction, Polarimetric SAR BibRef

Chen, Y.[Yun], Zhang, Y.H.[Yun-Hua], Li, D.[Dong], Yang, J.F.[Jie-Fang],
Joint Design of Complementary Sequence and Receiving Filter with High Doppler Tolerance for Simultaneously Polarimetric Radar,
RS(15), No. 15, 2023, pp. xx-yy.
DOI Link 2308
BibRef

Blanchon, M.[Marc], Sidibé, D.[Désiré], Morel, O.[Olivier], Seulin, R.[Ralph], Braun, D.[Daniel], Meriaudeau, F.[Fabrice],
P2D: a self-supervised method for depth estimation from polarimetry,
ICPR21(7357-7364)
IEEE DOI 2105
Surface reconstruction, Urban areas, Merging, Estimation, Robustness, Polarimetry, Sensors BibRef

Blanchon, M.[Marc], Morel, O.[Olivier], Meriaudeau, F.[Fabrice], Seulin, R.[Ralph], Sidibé, D.[Désiré],
Polarimetric image augmentation,
ICPR21(7365-7371)
IEEE DOI 2105
Training, Image segmentation, Urban areas, Scattering, Sensor phenomena and characterization, Robot sensing systems, Data models BibRef

Huang, X.Y.[Xia-Yuan], Nie, X.L.[Xiang-Li], Qiao, H.[Hong], Zhang, B.[Bo],
Supervised Polsar Image Classification by Combining Multiple Features,
ICIP19(634-638)
IEEE DOI 1910
multiple features, MCCA, MSE, feature extraction, PolSAR image classification BibRef

Nie, X., Luo, Y., Qiao, H., Zhang, B., Jiang, Z.,
An Incremental Multi-view Active Learning Algorithm for PolSAR Data Classification,
ICPR18(2251-2255)
IEEE DOI 1812
Heuristic algorithms, Prediction algorithms, Task analysis, Data models, Feature extraction, Learning systems, Polarimetric synthetic aperture radar BibRef

Nie, X., Ding, S., Zhang, B., Qiao, H., Huang, X.,
Polsar data online classification based on multi-view learning,
ICIP17(2354-2358)
IEEE DOI 1803
Feature extraction, Image color analysis, Optimization, Polarimetric synthetic aperture radar, Prediction algorithms, polarimetric synthetic aperture radar (PolSAR) BibRef

Rouabah, S., Ouarzeddine, M., Azmedroub, B.,
Polarimetric SAR Data GMM Classification Based On Improved Freeman Incoherent Decomposition,
ISPRS16(B7: 341-345).
DOI Link 1610
BibRef

Nasr, A.H.[Ayman H.], Abdelhamid, H.Z.[Hind Z.],
Polarimetric Signatures Identification For Different Features In Radarsat-2 Polsar Image: A Case Study Of Halayib Area, Egypt,
ISPRS16(B7: 851-857).
DOI Link 1610
BibRef

Liu, F.[Fang], Shi, J.F.[Jun-Fei], Jiao, L.C.[Li-Cheng], Liu, H.Y.[Hong-Ying], Yang, S.Y.[Shu-Yuan], Wu, J.[Jie], Hao, H.X.[Hong-Xia], Yuan, J.L.[Jia-Ling],
Hierarchical semantic model and scattering mechanism based PolSAR image classification,
PR(59), No. 1, 2016, pp. 325-342.
Elsevier DOI 1609
Hierarchical semantic model BibRef

Weissgerber, F., Colin-Koeniguer, E., Trouve, N., Nicolas, J.M.,
Comparison between spatial and temporal estimation of entropy on polarimetric SAR images,
MultiTemp15(1-4)
IEEE DOI 1511
IEEE Xplore;Portable document format BibRef

Salman, R., Willms, I.,
Exploitation of polarimetry in short range 3D UWB-radar object imaging,
IC3D12(1-7)
IEEE DOI 1503
image sensors BibRef

Yang, X.Z.[Xue-Zhi], Ye, M.[Ming], Wu, X.[Xiu], Yang, Z.[Zhao],
Structure preserving bilateral filtering for PolSAR data,
ICIP14(5846-5850)
IEEE DOI 1502
Covariance matrices BibRef

Liao, L., Li, P., Yang, J.,
A Modified Method for Polarimetric SAR Calibration Algorithm,
IWIDF13(73-76).
DOI Link 1311
BibRef

Jin, Y.Q.[Ya-Qiu],
Computer vision to polarimetric SAR imaging,
CVRS12(164-167).
IEEE DOI 1302
BibRef

Wang, X.J.[Xiao-Jun], Li, H.[Hao], Wu, Y.H.[Yong-Hui], Yan, S.S.[Shu-Sheng], Li, L.H.[Lian-Hua],
Parameters analysis for polarimetric SAR Based on classification accuracy,
IASP10(268-271).
IEEE DOI 1004
BibRef

Jovanovic, V.M., Bull, M.A., Diner, D.J., Geier, S., Rheingans, B.,
Automated Data Production For A Novel Airborne Multiangle Spectropolarimetric Imager (AIRMSPI),
ISPRS12(XXXIX-B1:33-38).
DOI Link 1209
BibRef

Song, C.X.[Cai-Xiu], Wang, C.C.[Chang-Cheng], Zhu, J.J.[Jian-Jun], Xiao, K.[Keke], Xie, Q.H.[Qing-Hua],
Analysis of the Relationship between the Incident Angle and Polarimetric Signatures with POLSAR Data,
ISIDF11(1-4).
IEEE DOI 1111
BibRef

Hansch, R.[Ronny], Hellwich, O.[Olaf],
Classification of Polarimetric SAR Data by Complex Valued Neural Networks,
HighRes09(xx-yy).
PDF File. 0906
BibRef

Gao, X.M.[Xiu-Min], Zhan, Q.F.[Qiu-Fang], Li, J.S.[Jin-Song], Wang, J.[Jian], Zhuang, S.L.[Song-Lin],
Concentric Two-Portion Radial Polarized Beam with Phase Shift,
CISP09(1-4).
IEEE DOI 0910
BibRef

Gendre, L.[Luc], Foulonneau, A.[Alban], Bigué, L.[Laurent],
High-Speed Acquisition and Pre-processing of Polarimetric Image Sequences,
ACIVS08(xx-yy).
Springer DOI 0810
BibRef

Showman, G.A., McClellan, J.H.,
Blind Polarimetric Equalization of Ultrawideband Synthetic Aperture Radar Imagery,
ICIP00(Vol I: 673-676).
IEEE DOI 0008
BibRef

Yu, Y.J.[Yong-Jian], Acton, S.T.,
Polarimetric SAR Image Segmentation Using Texture Partitioning and Statistical Analysis,
ICIP00(Vol I: 677-680).
IEEE DOI 0008
BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Motion Compensation for Radar .

Last update:Aug 31, 2023 at 09:37:21