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International Journal of Remote Sensing Volume 42, 2021 - Issue 13
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Research Article

A joint change detection method on complex-valued polarimetric synthetic aperture radar images based on feature fusion and similarity learning

Chenchen WangSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaView further author information
,
Weimin SuSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaCorrespondence[email protected]
View further author information
&
Hong GuSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, ChinaView further author information
Pages 4864-4881 | Received 27 Aug 2020, Accepted 10 Feb 2021, Published online: 25 Mar 2021

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Onuwa Okwuashi, Christopher E. Ndehedehe, Dupe Nihinlola Olayinka, Aniekan Eyoh & Hosanna Attai. (2021) Deep support vector machine for PolSAR image classification. International Journal of Remote Sensing 42:17, pages 6498-6536.
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Articles from other publishers (7)

Jie Geng, Yuhang Zhang & Wen Jiang. (2024) Polarimetric SAR Image Classification Based on Hierarchical Scattering-Spatial Interaction Transformer. IEEE Transactions on Geoscience and Remote Sensing 62, pages 1-14.
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Zhifei Yang, Yan Wu, Ming Li, Xin Hu & Zhikang Li. (2023) Unsupervised change detection in PolSAR images using siamese encoder–decoder framework based on graph-context attention network. International Journal of Applied Earth Observation and Geoinformation 124, pages 103511.
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Dazhi Xu, Ming Li, Yan Wu, Peng Zhang, Xinyue Xin & Zhifei Yang. (2023) Difference-guided multiscale graph convolution network for unsupervised change detection in PolSAR images. Neurocomputing 555, pages 126611.
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Dazhi Xu, Ming Li, Yan Wu, Peng Zhang, Jia Zheng & Xinyue Xin. (2023) Dual Attention-Based Difference Amplification Shrinkage Network for Unsupervised Change Detection in PolSAR Images. Dual Attention-Based Difference Amplification Shrinkage Network for Unsupervised Change Detection in PolSAR Images.
Zhongling Huang, Xiwen Yao, Ying Liu, Corneliu Octavian Dumitru, Mihai Datcu & Junwei Han. (2022) Physically explainable CNN for SAR image classification. ISPRS Journal of Photogrammetry and Remote Sensing 190, pages 25-37.
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Gang Jiang & Quanshun Zheng. (2022) Remote Sensing Recognition and Classification of Forest Vegetation Based on Image Feature Depth Learning. Mobile Information Systems 2022, pages 1-11.
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Qiuze Yu, Miao Zhang, Lijie Yu, Ruikai Wang & Jinsheng Xiao. (2022) SAR Image Change Detection Based on Joint Dictionary Learning With Iterative Adaptive Threshold Optimization. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 15, pages 5234-5249.
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