Harbor Detection and Discrimination of SAR Images with Prior Constraint

LIU Wei; CHEN Jianhong; ZENG Yangfan; ZHAO Yongjun

doi:10.13203/j.whugis20140794

Volume 41 Issue 10

Oct. 2016

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Geomatics and Information Science of Wuhan University > 2016 > 41(10): 1319-1325. > DOI: 10.13203/j.whugis20140794

LIU Wei, CHEN Jianhong, ZENG Yangfan, ZHAO Yongjun. Harbor Detection and Discrimination of SAR Images with Prior Constraint[J]. Geomatics and Information Science of Wuhan University, 2016, 41(10): 1319-1325. DOI: 10.13203/j.whugis20140794

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Harbor Detection and Discrimination of SAR Images with Prior Constraint

1.
School of Navigation and Aerospace Engineering, Information Engineering University, Zhengzhou 450001, China
2.
Technical Department, Taiyuan Satellite Launch Center, Taiyuan 030027, China

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The National Natural Science Foundation of China No. 41301481

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Received Date: March 25, 2015
Published Date: October 04, 2016

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Abstract

Abstract

Harbor detection and recognition is an important SAR(synthetic aperture radar) remote sensing ocean application. By analyzing the structure and microwave scattering characteristics of harbors, a harbor detection and identification algorithm for SAR remote sensing images based on prior constraint is proposed. A closure measure is defined according to the semi closed characteristics of water to extract harbor water, and the jetties are detected with the multi direction scanning method, so the harbor can be initially detected by combing two results. The entrance direction and the representative points of jetties are determined according to the minimum enclosing rectangle of the harbor. Finally, harbor identification is finished with a closure measure for the coastline between representative points of jetties. Experiments show that the proposed algorithm can detect harbor and the entrance directions accurately, and extracts jetties more completely.
- SAR image,
- harbor detection,
- closure measure,
- multi direction scanning,
- minimum enclosing rectangle

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