Lq regularisation-based synthetic aperture radar image feature enhancement via iterative thresholding algorithm

被引：14

作者：

Bi, Hui ^{[1
,2
]}

Zhang, Bingchen ^{[1
]}

Wang, Zhengdao ^{[3
]}

Hong, Wen ^{[1
]}

机构：

[1] Chinese Acad Sci, Inst Elect, Sci & Technol Microwave Imaging Lab, Beijing, Peoples R China

[2] Univ Chinese Acad Sci, Beijing, Peoples R China

[3] Iowa State Univ, Dept Elect & Comp Engn, Ames, IA USA

来源：

ELECTRONICS LETTERS | 2016年 / 52卷 / 15期

基金：

中国国家自然科学基金;

关键词：

Image enhancement - Radar imaging - Iterative methods - Echo suppression;

D O I：

10.1049/el.2016.1168

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：1336 / 1337

页数：2

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