Detection Algorithm of Ship Wake in SAR Images

In order to solve the problem of ship wake detection in synthetic aperture radar (SAR) image, a coherent speckle noise suppression algorithm based on analytic dictionary and a wake detection algorithm based on Radon transform are proposed. First, the morphological component separation algorithm base...

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Autores principales:	ZHAO Ting, WANG Shentao, NIU Lin, XI Peili, CAI Yunze
Formato:	article
Lenguaje:	ZH
Publicado:	Editorial Office of Journal of Shanghai Jiao Tong University 2020
Materias:	synthetic aperture radar (sar) image ship wake multiplicative noise denoising sparse representation radon transform Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
Acceso en línea:	https://doaj.org/article/2f5cb6ba488841fb8ad45d94568b6cfd
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id	oai:doaj.org-article:2f5cb6ba488841fb8ad45d94568b6cfd
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spelling	oai:doaj.org-article:2f5cb6ba488841fb8ad45d94568b6cfd2021-11-04T09:34:51ZDetection Algorithm of Ship Wake in SAR Images1006-246710.16183/j.cnki.jsjtu.2019.311https://doaj.org/article/2f5cb6ba488841fb8ad45d94568b6cfd2020-12-01T00:00:00Zhttp://xuebao.sjtu.edu.cn/CN/10.16183/j.cnki.jsjtu.2019.311https://doaj.org/toc/1006-2467In order to solve the problem of ship wake detection in synthetic aperture radar (SAR) image, a coherent speckle noise suppression algorithm based on analytic dictionary and a wake detection algorithm based on Radon transform are proposed. First, the morphological component separation algorithm based on analytic dictionary is used to separate the components of SAR image. The structural component image with ship wake and the texture component image with speckle noise and sea clutter are obtained. Then, the local Radon transform is performed on the structural component that contains the ship wakes. Finally, the real and false local peak points are distinguished by the ship wake recognition algorithm based on peak clustering decision, so as to obtain the local peak points generated by the real wakes and determine the specific position of the ship wakes. The experimental results show that the proposed algorithm can effectively detect the ship wakes in SAR images.ZHAO TingWANG ShentaoNIU LinXI PeiliCAI YunzeEditorial Office of Journal of Shanghai Jiao Tong Universityarticlesynthetic aperture radar (sar) imageship wakemultiplicative noise denoisingsparse representationradon transformEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156Naval architecture. Shipbuilding. Marine engineeringVM1-989ZHShanghai Jiaotong Daxue xuebao, Vol 54, Iss 12, Pp 1259-1268 (2020)
institution	DOAJ
collection	DOAJ
language	ZH
topic	synthetic aperture radar (sar) image ship wake multiplicative noise denoising sparse representation radon transform Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989
spellingShingle	synthetic aperture radar (sar) image ship wake multiplicative noise denoising sparse representation radon transform Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Naval architecture. Shipbuilding. Marine engineering VM1-989 ZHAO Ting WANG Shentao NIU Lin XI Peili CAI Yunze Detection Algorithm of Ship Wake in SAR Images
description	In order to solve the problem of ship wake detection in synthetic aperture radar (SAR) image, a coherent speckle noise suppression algorithm based on analytic dictionary and a wake detection algorithm based on Radon transform are proposed. First, the morphological component separation algorithm based on analytic dictionary is used to separate the components of SAR image. The structural component image with ship wake and the texture component image with speckle noise and sea clutter are obtained. Then, the local Radon transform is performed on the structural component that contains the ship wakes. Finally, the real and false local peak points are distinguished by the ship wake recognition algorithm based on peak clustering decision, so as to obtain the local peak points generated by the real wakes and determine the specific position of the ship wakes. The experimental results show that the proposed algorithm can effectively detect the ship wakes in SAR images.
format	article
author	ZHAO Ting WANG Shentao NIU Lin XI Peili CAI Yunze
author_facet	ZHAO Ting WANG Shentao NIU Lin XI Peili CAI Yunze
author_sort	ZHAO Ting
title	Detection Algorithm of Ship Wake in SAR Images
title_short	Detection Algorithm of Ship Wake in SAR Images
title_full	Detection Algorithm of Ship Wake in SAR Images
title_fullStr	Detection Algorithm of Ship Wake in SAR Images
title_full_unstemmed	Detection Algorithm of Ship Wake in SAR Images
title_sort	detection algorithm of ship wake in sar images
publisher	Editorial Office of Journal of Shanghai Jiao Tong University
publishDate	2020
url	https://doaj.org/article/2f5cb6ba488841fb8ad45d94568b6cfd
work_keys_str_mv	AT zhaoting detectionalgorithmofshipwakeinsarimages AT wangshentao detectionalgorithmofshipwakeinsarimages AT niulin detectionalgorithmofshipwakeinsarimages AT xipeili detectionalgorithmofshipwakeinsarimages AT caiyunze detectionalgorithmofshipwakeinsarimages
_version_	1718444950094348288

Detection Algorithm of Ship Wake in SAR Images

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