Moving Vehicle Detection Based on RPCA Using Multisquint Spaceborne SAR Images

Autor:	Yamin Wang, Wei Yang, Chunsheng Li, Yulun Li, Yihan Li
Rok vydání:	2022
Předmět:	Synthetic aperture radar Computer science business.industry Geotechnical Engineering and Engineering Geology Residual Real image Thresholding Azimuth Clutter Computer vision Artificial intelligence Electrical and Electronic Engineering Antenna (radio) business Robust principal component analysis
Zdroj:	IEEE Geoscience and Remote Sensing Letters. 19:1-5
ISSN:	1558-0571 1545-598X
Popis:	In this letter, a moving vehicle detection method is proposed based on spaceborne synthetic aperture radar images, generated by antenna azimuth steering with different azimuth angles and time lags. First, the multisquint geometry and sequential image model are established, and the variation from stationary scatters over sequence is addressed, which interferes the indication of moving signals significantly. Then, the robust principal component analysis (RPCA) is employed in the image domain as the predetection step. Next, with some spatial filters and thresholding estimators, the moving target signature is exploited to further discriminate the residual false detection. Finally, the proposed method is verified by both simulated and real images based on TerraSAR-X data. Results reveal that the clutter suppression can be effectively achieved.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::161190cabcd366e8f4225e2c2db94d69 https://doi.org/10.1109/lgrs.2020.3034682 Zobrazit plný text záznamu