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

The Journal of Engineering

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[1] China Academy of Space Technology, Beijing 100094, People's Republic of China;Patent Examination Cooperation Center Jiangsu Center of the Patent Office, SIPO, Suzhou 215011, People's Republic of China;Science and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, People's Republic of China;Science and Technology on Microwave Imaging Laboratory, Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, People's Republic of China;University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China;

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

DOI  :  10.1049/joe.2014.0033

来源: publisher

【 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