SYNTHETIC APERTURE RADAR FOCUSING BASED ON BACK-PROJECTION AND COMPRESSIVE SENSING

被引：0
|
作者：
Focsa, Adrian [1 ,2 ]
Anghel, Andrei [1 ]
Toma, Stefan-Adrian [2 ]
Datcu, Mihai [1 ,3 ]
机构：
[1] Univ Politehn Bucuresti, Res Ctr Spatial Informat, CEOSpaceTech, Bucharest, Romania
[2] Mil Tech Acad Ferdinand I, Bucharest, Romania
[3] German Aerosp Ctr DLR, Oberpfaffenhofen, Germany
来源：
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM | 2020年
关键词：
compressive sensing; back-projection; synthetic aperture radar; focusing; bistatic;
D O I：
10.1109/IGARSS39084.2020.9323775
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper is presented a new methodology for synthetic aperture radar images focusing called bidimensional mixed compressive sensing back-projection (CS-BP-2D). Spatial compressibility of the radar images is exploited by constructing the sparsity basis using the back-projection focusing framework and solving the reconstruction problem by means of the orthogonal matching pursuit algorithm (OMP).
引用
收藏
页码：2376 / 2379
页数：4
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