A High-Resolution Imaging Method for Strip-Map SAR With Missing Data

被引:4
作者
Duan, Huajun [1 ]
Zhu, Daiyin [1 ]
Xiang, Tianshun [1 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Elect & Informat Engn, Nanjing 210016, Peoples R China
来源
IEEE ACCESS | 2020年 / 8卷
基金
中国国家自然科学基金;
关键词
Azimuth; Image reconstruction; Image restoration; Apertures; Imaging; Radar imaging; Synthetic aperture radar; compressed sensing; PAST algorithm; missing data; high-resolution imaging; DATA EXTRAPOLATION; RECOVERY;
D O I
10.1109/ACCESS.2019.2949657
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Due to the long aperture, the high-resolution imaging for strip-map SAR with missing data is a challenge, in which the range migration correction and phase error correction are challenging. In this paper, a high-resolution imaging method of this type of data based on compressed sensing (CS) is proposed, which divides the strip-map data into several sub-apertures restored by CS and recombined to the strip-map data. The basis matrix and the measurement matrix for CS are deduced. The sub-aperture data is autofocused by the Projection Approximation Subspace Tracking (PAST) algorithm to meet the sparse requirement for the reconstructed image and the intact phase error data is restored by CS in order to combine the sub-apertures. A high-resolution image of the restored data can be obtained by conventional imaging method which performs range migration and autofocus.
引用
收藏
页码:5961 / 5969
页数:9
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