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
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出版日期 | 2016-07-21 |
卷号 | 52期号:15页码:1336-1337 |
ISSN号 | 0013-5194 |
DOI | 10.1049/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 |
推荐引用方式 GB/T 7714 | 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. |
入库方式: iSwitch采集
来源:中国科学院大学
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