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J-GLOBAL ID：201702237632726982   Reference number：17A1250592

Total Variation Regularized Reweighted Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing

ハイパースペクトルアンミキシングのための全変動正則化再重みづけスパース非負行列因数分解【Powered by NICT】

Author (3)： He Wei (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China) ,  Zhang Hongyan (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China) ,  Zhang Liangpei (State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, and the Collaborative Innovation Center of Geospatial Technology, Wuhan University, Wuhan, China)
Material： IEEE Transactions on Geoscience and Remote Sensing  (IEEE Trans Geosci Remote Sensing)
Volume： 55  Issue： 7  Page： 3909-3921  Publication year： 2017 
JST Material Number： H0016B  ISSN： 0196-2892  CODEN： IGRSD2  Document type： Article
Article type： 原著論文  Country of issue： United States (USA)  Language： ENGLISH (EN)

Abstract/Point： Blind hyperspectral unmixing (...

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Thesaurus term： robustness ,  multiplication (algebra) ,  successive approximation ,  *perspective projection ,  convexity ,  *regularization ,  noise elimination ,  noise (signal) ,  *weighting ,  end member ,  *non-negative matrix factorization
Semi thesaurus term： *ハイパースペクトル ,  *総変動 ,  *ハイパースペクトルアンミキシング , 【Automatic Indexing@JST】

JST classification (2)： Graphic and image processing in general  (JE04010I) ,  Remote sensing in general  (AD04000L)

Terms in the title (5)： ハイパースペクトルアンミキシング ,  全変動 ,  正則化 ,  重みづけ ,  非負行列因数分解