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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| Vydáno v: | Electronics letters Ročník 52; číslo 15; s. 1336 - 1338 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
21.07.2016
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| ISSN: | 0013-5194, 1350-911X |
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| 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. |
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| AbstractList | 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. |
| Author | Bi, Hui Hong, Wen Zhang, Bingchen Wang, Zhengdao |
| Author_xml | – sequence: 1 givenname: Hui surname: Bi fullname: Bi, Hui organization: Science and Technology on Microwave Imaging Laboratory Institute of Electronics, Chinese Academy of Sciences and University of Chinese Academy of Sciences Beijing People's Republic of China – sequence: 2 givenname: Bingchen surname: Zhang fullname: Zhang, Bingchen organization: Science and Technology on Microwave Imaging Laboratory Institute of Electronics, Chinese Academy of Sciences Beijing People's Republic of China – sequence: 3 givenname: Zhengdao surname: Wang fullname: Wang, Zhengdao organization: Department of Electrical and Computer Engineering Iowa State University Ames USA – sequence: 4 givenname: Wen surname: Hong fullname: Hong, Wen organization: Science and Technology on Microwave Imaging Laboratory Institute of Electronics, Chinese Academy of Sciences Beijing People's Republic of China |
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| Cites_doi | 10.1109/TAES.2003.1261134 10.1109/TIT.2006.871582 10.1007/s11432-012-4633-4 10.1109/TIT.2006.885507 10.1109/83.913596 10.1002/cpa.20042 |
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| Title | L q regularisation‐based synthetic aperture radar image feature enhancement via iterative thresholding algorithm |
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