Image and Signal Processing Methods

Improved eigensubspace-based approach for radio frequency interference filtering of synthetic aperture radar images

[+] Author Affiliations
Chunhui Zhou, Xiangyu Wang

Chinese Academy of Sciences, Institute of Electronics, Space Microwave Remote Sensing System Department, Beijing, China

University of the Chinese Academy of Sciences, Beijing, China

Fei Li, Ning Li, Huifang Zheng, Robert Wang

Chinese Academy of Sciences, Institute of Electronics, Space Microwave Remote Sensing System Department, Beijing, China

J. Appl. Remote Sens. 11(2), 025004 (Apr 25, 2017). doi:10.1117/1.JRS.11.025004
History: Received November 23, 2016; Accepted March 23, 2017
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Abstract.  The radio frequency interference (RFI) has an adverse effect on the useful signals, which can degrade the image quality seriously. An improved eigensubspace-based approach for RFI filtering of synthetic aperture radar images is developed. In the preprocessing stage of the proposed approach, the data sets that need subsequent processing can be selected in both frequency and time domain. Then, the data can be processed by the traditional eigensubspace-based approach. Compared with the traditional eigensubspace-based approach, our approach can work more efficiently and effectively.

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Citation

Chunhui Zhou ; Fei Li ; Ning Li ; Huifang Zheng ; Robert Wang, et al.
"Improved eigensubspace-based approach for radio frequency interference filtering of synthetic aperture radar images", J. Appl. Remote Sens. 11(2), 025004 (Apr 25, 2017). ; http://dx.doi.org/10.1117/1.JRS.11.025004


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