25 April 2017 Improved eigensubspace-based approach for radio frequency interference filtering of synthetic aperture radar images
Author Affiliations +
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.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Chunhui Zhou, Chunhui Zhou, Fei Li, Fei Li, Ning Li, Ning Li, Huifang Zheng, Huifang Zheng, Robert Wang, Robert Wang, Xiangyu Wang, 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 . Submission: Received: 23 November 2016; Accepted: 23 March 2017
Received: 23 November 2016; Accepted: 23 March 2017; Published: 25 April 2017
JOURNAL ARTICLE
15 PAGES


SHARE
RELATED CONTENT

Spatial summation of face information
Proceedings of SPIE (June 01 2000)
Preliminary results in use of ERS 1 imagery for Black...
Proceedings of SPIE (December 20 1994)
Restoration of face images
Proceedings of SPIE (January 13 2012)

Back to Top