A spectral unmixing method based on co-training - 文章详情页

作者：

Pang, Qingyu (Pang, Qingyu.) | Yu, Jing (Yu, Jing.) | Sun, Weidong (Sun, Weidong.)

收录：

CPCI-S EI Scopus

摘要：

With　the　gradual　maturation　of　imaging　spectroscopy,　the　demand　for　quantitative　analysis　of　hyperspectral　images　grows　with　each　passing　day.　Spectral　unmixing　has　been　considered　as　an　efficient　way　to　extract　detailed　information　about　land　covers.　In　this　paper,　by　introducing　the　co-training　concept　into　the　spectral　unmixing　method　based　on　wavelet　weighted　similarity　(WWS-SU),　a　spectral　unmixing　method　based　on　co-training　(CT-SU)　is　proposed.　Compared　with　the　WWS-SU　method　on　synthetic　hyperspectral　image,　the　CT-SU　method　shows　not　only　more　practical　but　also　more　accurate　in　result.　©　Springer　International　Publishing　AG　2017.

关键词：

Remote sensing Hyperspectral imaging Spectroscopy Computerized tomography

作者机构：

[ 1 ] [Pang, Qingyu]State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing; 100084, China
[ 2 ] [Yu, Jing]College of Computer Science and Technology, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Sun, Weidong]State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing; 100084, China

通讯作者信息：

[pang, qingyu]state key laboratory of intelligent technology and systems, tsinghua national laboratory for information science and technology, department of electronic engineering, tsinghua university, beijing; 100084, china

电子邮件地址：

pqy10@mails.tsinghua.edu.cn

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