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《Journal of Optoelectronics.Laser》 2010-08
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An improved spectral unmixing modeling based on linear spectral mixing modeling

WANG Li-guo,ZHANG Jing(College of Information and Communications Engineering,Harbin Engineering University,Harbin 150001,China)  
Spectral unmixing is one of the important techniques of hyperspectral imagery processing.Traditional spectral unmixing method based on linear spectral mixing modeling(LSMM) is solved in terms of iteration manner,which suffers a heavy computational burden.In this case,a geometric solving method is proposed for LSMM instead of the iteration manner.Additionally,fixed number and fixed shape of endmembers are used in LSMM,leading to a discount unmixing accuracy.Aiming at this problem and constructing a new spectral unmixing way based on flexibly determined endmembers,the method of spectral shape modifying regionally and the method of endmember subset determining locally are proposed.Experiments show the validation of the geometric solving method of LSMM and the determination method of flexible endmembers.
【Fund】: 国家自然科学基金资助项目(60802059);; 教育部博士点新教师基金资助项目(200802171003);; 水下机器人国防重点实验室开放课题基金联合资助项目
【CateGory Index】: TP391.41
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【Citations】
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【Co-citations】
Chinese Journal Full-text Database 3 Hits
1 HUANG Jun,ZHOU Xin-zhi School of Electronic and Information Engineering,Sichuan University,Chengdu 610065,China;Area estimation of Qionghai by using 2-D scattered points-classification NDVI method[J];Computer Engineering and Applications;2009-35
2 XU Yingjun,LI Ning,GU Wei,SHI Peijun,CUI Weijia(College of Resources Science and Technology,Beijing Normal University;Key Laboratory of Environmental Changes and Natural Disaster,Ministry of Education,Beijing 100875,China);A Study on the Technology of Sea Ice Desalination in Solid State by Freezing and Melting through Temperature Control[J];Journal of Basic Science and Engineering;2006-04
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