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《Journal of Chongqing University of Technology(Natural Science)》 2015-11
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Method for Ship Detection in Hyperspectral Image

DAI Wei;WEN Gong-jian;ZHANG Xin;LI Zhi-yong;ATR Key Laboratory,National University of Defense Technology;  
A method based on spectral anomaly for the ship target detection in hyperspectral image was proposed. Firstly,the area covered by seawater was picked out and confirm the target searching area for ships in the sea. Then,principal components analysis( PCA) was used to reduce the dimension of hyperspectral image. RX detection was carried out on the PCA translated image to find the spectral anomaly pixels. At last,anomaly pixels clustered in a certain shape were detected as the ship targets. Experiment results indicate that the proposed method is efficient for sea ship target detection in complex background.
【Fund】: 教育部新世纪优秀人才支持计划项目(NCET-11-0866)
【CateGory Index】: TP751
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