Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition

doi:10.1109/TGRS.2024.3439885

	Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition
	He, Xiongpeng 1; Liu, Kun 1; Gu, Tong 1; Liao, Guisheng 1; Zhu, Shengqi 1; Xu, Jingwei 1; Yu, Yue 1; Huang, Hai 1; Wang, Xingchen 1; Gao, Yingjie 1; Tan, Haining 2; Qiu, Jibing 2
	2024
发表期刊	IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN	0196-2892
卷号	62 页码:14
摘要	Ground moving target detection is one of the foremost tasks for multichannel synthetic aperture radar (SAR) system. The traditional robust principal component analysis (RPCA) method is capable of separating low-rank and sparse components from mixed echo signals, and it has been widely applied in SAR ground moving target indication (GMTI). However, it suffers from sensitivity to channel mismatch, high computational complexity, and excessively high false alarm rates. To address these issues, a novel method that combines adaptive multichannel data reconstruction (DR) with improved pseudo-skeleton decomposition (IPSD) is proposed. First, the iterative weighted approach is presented to precisely reconstruct the multichannel data vector with the joint-pixel model. After that, IPSD is presented to achieve the moving target detection, in which the row and column index sets are selected using the generalized inner product (GIP) and the amplitude histogram distribution criterion. Compared to the existing algorithms, the proposed algorithm effectively addresses the challenge of improving local region coherence in multichannel image sequences. In addition, compared to previous RPCA methods, the proposed algorithm significantly reduces false alarm rates in strong clutter backgrounds while achieving higher efficiency. Simulation results and real SAR data experiments validate the effectiveness of the proposed algorithm.
关键词	Clutter Object detection Sparse matrices Principal component analysis Matrix decomposition Image reconstruction Estimation Data reconstruction (DR) ground moving target indication (GMTI) joint-pixel model pseudo-skeleton decomposition (IPSD) robust principal component analysis (RPCA)
DOI	10.1109/TGRS.2024.3439885
收录类别	SCI
语种	英语
资助项目	National Nature Science Foundation of China (NSFC)[62201408] ; National Nature Science Foundation of China (NSFC)[61931016] ; National Nature Science Foundation of China (NSFC)[61621005]
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:001297495600001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/39562
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Liu, Kun; Gu, Tong
作者单位	1.Xidian Univ, Natl Key Lab Radar Signal Proc, Xian 710071, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Res Ctr Intelligent Comp Syst, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	He, Xiongpeng,Liu, Kun,Gu, Tong,et al. Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2024,62:14.
APA	He, Xiongpeng.,Liu, Kun.,Gu, Tong.,Liao, Guisheng.,Zhu, Shengqi.,...&Qiu, Jibing.(2024).Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,62,14.
MLA	He, Xiongpeng,et al."Ground Moving Target Detection With Adaptive Data Reconstruction and Improved Pseudo-Skeleton Decomposition".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 62(2024):14.