Lq regularisation‐based synthetic aperture radar image feature enhancement via iterative thresholding algorithm. Issue 15 (1st July 2016)

• Record Type: Journal Article
• Authors: Bi, Hui; Zhang, Bingchen; Wang, Zhengdao; Hong, Wen
• Is Part Of: Electronics letters. Volume 52:Issue 15(2016)
• Page Start: 1336
• Page End: 1338
• Publication Date: 2016-07-01
• Subjects: synthetic aperture radar -- radar imaging -- iterative methods -- radar clutter -- image resolution -- image enhancement; Lq regularisation -- synthetic aperture radar image -- SAR image feature enhancement -- iterative thresholding algorithm -- SAR complex image data -- compressive sensing imaging technique -- full‐sampling raw data -- azimuth ambiguity -- clutter suppression -- superresolution; Electronics -- Periodicals; 621.381
• DOI: 10.1049/el.2016.1168
• Languages: English
• ISSNs: 0013-5194

Abstract

Abstract : A novel L q (0 < q ≤ 1) regularisation‐based synthetic aperture radar (SAR) image feature enhancement method via SAR complex image data is presented. Compared with conventional L q regularisation‐based compressive sensing imaging technique with full‐sampling raw data, the proposed method can achieve the same effect of image feature enhancement while enjoying much less computational cost. Through simulations and experiments, the superiority of the proposed method is demonstrated in terms of sidelobe, azimuth ambiguity, clutter suppression and super‐resolution.