Complex-valued interferometric inverse synthetic aperture radar image compression base on compressed sensing

The Journal of Engineering

Bo Liu³  Liechen Li³  Daojing Li⁴  Qingjuan Zhang⁴ 

[1] China Academy of Space Technology, Beijing 100094, People'Patent Examination Cooperation Center Jiangsu Center of the Patent Office, SIPO, Suzhou 215011, People'Science and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, People's Republic of China

关键词: interferometric phase;    complex-valued interferometric inverse synthetic aperture radar image compression;    complex-valued ISAR image compression approach;    compressed sensing;    frequency spectrum;    imaging magnitude;    image pixel r;    om phase;    resolution cell;    interferometry processing;   

DOI  :  10.1049/joe.2014.0033

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

Complex-valued interferometric inverse synthetic aperture radar (InISAR) image compression is discussed in this study. The target scene has its continuity and is compressible. However, because of the random phase of each resolution cell, the frequency spectrum of an ISAR image is wide and the complex-valued image is hard to compress. A complex-valued ISAR image compression approach is proposed. Using two or more antennas and interferometry processing, the random phase of image pixel can be cancelled and the frequency spectrum becomes sparse. Therefore the theory of compressed sensing can be introduced to the process of the complex-valued image compression. Hence, the complex-valued InISAR image compression and reconstruction can be completed. Results on real data are presented to validate the method. In comparison with results of the conventional compression techniques, the proposed method shows the better ability to preserve both the imaging magnitude and interferometric phase.

【 授权许可】

CC BY