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《Geomatics and Information Science of Wuhan University》 2006-03
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Hyperspectral Image Classification Based on Features of Wavelet Vectors

LI Xinshuang~(1,2) ZHANG Liangpei~(1) LI Pingxiang~(1) WU Bo~(1)(1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(2 Chengdu Institute of Survey and Investigation,70 Yihuan Road,Chengdu 610081,China)  
A novel approach for mapping hyperspectral data is presented by extracting the feature of wavelet vectors.The expected decomposed level-L is decided for a given hyperspectral imagery and then a function is constructed to extract the feature of each vector for every pixel.Classified image is obtained by comparing the feature between the pixel vector and the reference spectra.Comparisons with spectral angle mapping(SAM) and cross correlation spectral match(CCSM) are also done.
【Fund】: 国家973计划资助项目(2003CB415205);; 国家自然科学基金资助项目(40471088405230051)
【CateGory Index】: TP751
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【Co-references】
Chinese Journal Full-text Database 10 Hits
1 ZHANG Rui1,2,ZHANG Ji-xian2,LI Hai-tao2(1.College of Geo-info Sci.and Eng.,SUST,Qingdao,Shandong 266510,China;2.Chinese Academy of Surveying and Mapping,Beijing 100039,China);Classification Study of Mountainous Land Cover Aided by Topographic Data[J];Journal of Shandong University of Science and Technology(Natural Science);2007-01
2 Hou Zhihua1) Zhang Ningyu2) Zhao Yan3) Wu Quanyuan1) Zhou Aixian1)( 1)College of Population,Resources and Environment,Shandong Normal University,250014,Jinan,China;2)Department of Mathematics and Physics,Shandong University of Architecture and Engineering,250014,Jinan,China;3)Department of Land and Resources Longkou,265701,Longkou,Shandong,China );THE STUDY OF DATA FUSION TECHNIQUES FOR THE QUICK BIRD REMOTELY SENSED IMAGERY[J];Journal of Shandong Normal University (Natural Science);2005-03
3 Guo Hang Zhang Xiaoli(The Key Laboratory for Silvicuture and Conservation of Ministry of Education,Beijing Forestry University,Beijing 100083,China);Current Status and Developing Trend in Vegetation Classification Based on RS Technology[J];World Forestry Research;2007-03
4 HUANG Xin~(1) ZHANG Liangpei~(1) LI Pingxiang~(1)(1 State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China);Methods for Classification of the High Spatial Resolution Remotely Sensed Images Based on Wavelet Transform[J];Geomatics and Information Science of Wuhan University;2006-01
5 ZHAO Yindi~1 ZHANG Liangpei~1 LI Pingxiang~1(1 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China);A Texture Classification Algorithm Based on Feature Fusion[J];Geomatics and Information Science of Wuhan University;2006-03
6 XING Shuai~(1) TAN Bing~(2) XU Qing~(1) LI Jiansheng~(1)(1 Institute of Surveying and Mapping,Information Engineering University,66 Middle Longhai Road,Zhengzhou 450052,China)(2 Jiangnan Institute of Remete Sensing Application,P.O.Box 072-039,Shanghai 200072,China);A New Algorithm for Remote Sensing Image Fusion Using Complex Wavelet Transform[J];Geomatics and Information Science of Wuhan University;2007-01
7 YANG Jun1 ZHAO Zhongming2 YANG Jian2(1 Laboratory of Lightning Physics and Protection,Chinese Academy of Meteorological Sciences,46 South Zhongguancun Avenue,Haidian District,Beijing 100081,China)(2 Institute of Remote Sensing Applications,Chinese Academy of Sciences,3 Datun Road,Chaoyang District,Beijing 100101,China);A Shadow Removal Method for High Resolution Remote Sensing Image[J];Geomatics and Information Science of Wuhan University;2008-01
8 GUO Zhi-qiang,CAI Song(School of Information Engineering,Wuhan University of Technology,Wuhan 430070,China);Algorithm of Remote Sensing Image Classification and Implementation by Matlab[J];Journal of Wuhan University of Technology;2006-01
9 (Department of Electrical Engineering, Ocean Uni-versity of China, Qingdao, Shandong ,China266071) Jia,Lin Wang,Guoyu;The Remote Sensing Image Fusion Based on Blocked DCT[J];Control & Automation;2005-20
10 LIN Hui~1,DU Pei-jun~2,XIAO Jian-ping~3 (1.Department of Territory Resource Information and Surveying Engineering,Xuzhou Normal University,Xuzhou 221116, Jiangsu,China;2.Department of Environment and Spatial Information,China University of Mining and Technology,Xuzhou 221008,Jiangsu,China;3.Wuhan Design and Research Institute of Exploration and Surveying,Wuhan 430022,Hubei,China);Algorithm and Realization of Remote Sensing multi-spectral Image Fusion Using Wavelet Transform[J];Journal of Earth Sciences and Environment;2006-01
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