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

Chunhui Zhou; Fei Li; Ning Li; Huifang Zheng; Robert Wang; Xiangyu Wang

doi:10.1117/1.JRS.11.025004

25 April 2017 Improved eigensubspace-based approach for radio frequency interference filtering of synthetic aperture radar images

Chunhui Zhou, Fei Li, Ning Li, Huifang Zheng, Robert Wang, Xiangyu Wang

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 2, 025004 (April 2017). https://doi.org/10.1117/1.JRS.11.025004

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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Chunhui Zhou, Fei Li, Ning Li, Huifang Zheng, Robert Wang, and Xiangyu Wang "Improved eigensubspace-based approach for radio frequency interference filtering of synthetic aperture radar images," Journal of Applied Remote Sensing 11(2), 025004 (25 April 2017). https://doi.org/10.1117/1.JRS.11.025004

Received: 23 November 2016; Accepted: 23 March 2017; Published: 25 April 2017

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