L q regularisation‐based synthetic aperture radar image feature enhancement via iterative thresholding algorithm

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 achi...

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Bibliographic Details
Published in:	Electronics letters Vol. 52; no. 15; pp. 1336 - 1338
Main Authors:	Bi, Hui, Zhang, Bingchen, Wang, Zhengdao, Hong, Wen
Format:	Journal Article
Language:	English
Published:	21.07.2016
ISSN:	0013-5194, 1350-911X
Online Access:	Get full text
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Summary:	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.
ISSN:	0013-5194 1350-911X
DOI:	10.1049/el.2016.1168