中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
L-q regularisation-based synthetic aperture radar image feature enhancement via iterative thresholding algorithm

文献类型:期刊论文

作者Bi, Hui1,2; Zhang, Bingchen1; Wang, Zhengdao3; Hong, Wen1
刊名Electronics letters
出版日期2016-07-21
卷号52期号:15页码:1336-1337
ISSN号0013-5194
DOI10.1049/el.2016.1168
通讯作者Bi, hui(bihui1991@163.com)
英文摘要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.
WOS研究方向Engineering
WOS类目Engineering, Electrical & Electronic
语种英语
WOS记录号WOS:000381001600033
出版者INST ENGINEERING TECHNOLOGY-IET
URI标识http://www.irgrid.ac.cn/handle/1471x/2375668
专题中国科学院大学
通讯作者Bi, Hui
作者单位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
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Bi, Hui,Zhang, Bingchen,Wang, Zhengdao,et al. L-q regularisation-based synthetic aperture radar image feature enhancement via iterative thresholding algorithm[J]. Electronics letters,2016,52(15):1336-1337.
APA Bi, Hui,Zhang, Bingchen,Wang, Zhengdao,&Hong, Wen.(2016).L-q regularisation-based synthetic aperture radar image feature enhancement via iterative thresholding algorithm.Electronics letters,52(15),1336-1337.
MLA Bi, Hui,et al."L-q regularisation-based synthetic aperture radar image feature enhancement via iterative thresholding algorithm".Electronics letters 52.15(2016):1336-1337.

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来源:中国科学院大学

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