A Joint Moving Target Detection Method in Video SAR Via Low-Rank Sparse Decomposition and Transformer

Video synthetic aperture radar (SAR) has exhibited considerable potential for detecting and tracking ground moving targets. Numerous classical shadow-based detection methods have been applied in video SAR. In addition, shadow-assisted detection methods based on convolutional neural networks (CNNs) h...

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Hlavní autoři:	Hui Fang, Guisheng Liao, Yongjun Liu, Cao Zeng, Xiongpeng He, Mingming Xu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2025-01-01
Edice:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Témata:	Convolutional neural network (CNN) low-rank sparse decomposition (LSD) shadow target detection video synthetic aperture radar (video SAR)
On-line přístup:	https://ieeexplore.ieee.org/document/10759747/
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