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Journal of Electromagnetic Waves and Applications Volume 33, 2019 - Issue 7: Insight into Remote Monitoring Systems
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Articles

Joint sparse representation of complementary components in SAR images for robust target recognition

Shuguang MiaoSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, People's Republic of China;School of Physics and Electronic Information, Huaibei Normal University, Huaibei, People's Republic of China;IOT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, People's Republic of ChinaView further author information
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Xiaowen LiuSchool of Information and Control Engineering, China University of Mining and Technology, Xuzhou, People's Republic of China;IOT Perception Mine Research Center, China University of Mining and Technology, Xuzhou, People's Republic of ChinaCorrespondence[email protected]
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Pages 882-896 | Received 14 Apr 2018, Accepted 27 Jun 2018, Published online: 19 Jul 2018

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Read on this site (2)

Shifei Tao, Xinyi Li, Xiaodong Ye, Hao Wang & Xiang Li. (2023) SAR image despeckling using a CNN guided by high-frequency information. Journal of Electromagnetic Waves and Applications 37:3, pages 441-451.
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Lijun Zhu, Zhen Liu & Huimin Gao. (2020) Two-stage sparse representation of NSCT features with application to SAR target classification. Journal of Electromagnetic Waves and Applications 34:17, pages 2371-2384.
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Articles from other publishers (4)

Zhichao Liu, Baida Qu & Jianjun Guo. (2020) Target recognition of SAR images using fused deep feature by multiset canonical correlations analysis. Optik 220, pages 165156.
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Hongwen Xia & Zhen Liu. (2020) Target classification of SAR images using nonlinear correlation information entropy. Journal of Applied Remote Sensing 14:03.
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Chenyu Li & Guohua Liu. (2020) Block Sparse Bayesian Learning over Local Dictionary for Robust SAR Target Recognition. International Journal of Optics 2020, pages 1-10.
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Zilu Ying, Chen Xuan, Yikui Zhai, Bing Sun, Jingwen Li, Wenbo Deng, Chaoyun Mai, Faguan Wang, Ruggero Donida Labati, Vincenzo Piuri & Fabio Scotti. (2020) TAI-SARNET: Deep Transferred Atrous-Inception CNN for Small Samples SAR ATR. Sensors 20:6, pages 1724.
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