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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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【Citations】
Chinese Journal Full-text Database 7 Hits
1 ZHAO Chun-hui;LI Xiao-hui;TIAN Ming-hua;College of Information and Communication Engineering,Harbin Engineering University;;Hyperspectral Imaging Abnormal Target Detection Algorithm Using Principal Component Quantization and Density Estimation on EM Clustering[J];光子学报;2013-10
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 XIAO Yan;CHENG Shu-fang;Wuhan College of Information and Communication;;Hyperspectral anomaly detection based on principal component analysis[J];激光杂志;2017-01
2 LI Jun;;Application Analysis of Optical Remote Sensing Image in Ship Detection[J];舰船电子工程;2016-10
3 GUO Shao-jun;LOU Shu-li;LIU Feng;Department of Control Engineering,Navy Aeronautical Engineering University;;Ship-target saliency detection via image fusion and graph-based manifold ranking[J];液晶与显示;2016-10
4 GUO Tong;HUA Wen-shen;LIU Xun;LIU Xiao-guang;CUI Zi-hao;Department of electronic and Optical Engineering,Mechanical Engineering College;;Rapid hyperspectral band selection approach based on improved optimal index[J];激光杂志;2016-09
5 ZHEN Jian-hong;WU Rui-mei;XIONG Jun-fei;WANG Peng-wei;XIAO Huai;FAN Yuan;AI Shi-rong;Institute of technology,Jiangxi agricultural university;;Nondestructive Detection of Pesticide Residues on Fresh Tea Leave using Fluoresce Hyperspectral Imaging Combined with Spectral Angle Algorithm[J];激光杂志;2016-06
6 Wu Yiquan;Zhou Yang;Long Yunlin;College of Electronic and Information Engineering,Nanjing University of Aeronautics and Astronautics;Key Laboratory of Spectral Imaging Technology,CAS,Xi'an Institute of Optics and Precision Mechanics,CAS;;Detection of hyperspectral small targets based on projection pursuit optimized by bee colony[J];仪器仪表学报;2016-06
7 ZHAO Ming-fu;LIU Zi-di;ZOU Xue;WU Liang;Zhang Feng;LONG Jie;Chongqing University of Technology;Chongqing Modern Photoelectric Detection Technology and Instrument Laboratory;Chongqing University of Education;;Detection of defects on potatoes by hyperspectral imaging technology[J];激光杂志;2016-03
8 Yang Ming-long;College of land and resources engineering,Kunming University of Science and Technology;;Lossless Compression of Hyper-spectral Image Based on Prediction[J];激光杂志;2016-02
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10 DAI Wei;WEN Gong-jian;ZHANG Xin;LI Zhi-yong;ATR Key Laboratory,National University of Defense Technology;;Method for Ship Detection in Hyperspectral Image[J];重庆理工大学学报(自然科学);2015-11
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
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9 ZHANG Tong1,2,XIAO Nan-feng1(1.School of Computer Science and Engineering,South China University of Technology,Guangzhou 510641,China;2.Dept of Computer,Guangdong Police Officers College,Guangzhou 510230,China);Fingerprint Recognition System Based on BP Neural Network[J];重庆理工大学学报(自然科学版);2010-01
10 YANG Jun1,2,ZHANG Xiu-qiong2,GAO Zhi-sheng2,YUAN Hong-zhao21.College of Computer Science,Sichuan Normal University,Chengdu 610066,China 2.Institute of Image & Graphic,Sichuan University,Chengdu 610064,China;Fusion of two different PCAs for face recognition[J];计算机工程与应用;2010-01
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