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author:

Wu, B. (Wu, B..) [1] | Wang, X. (Wang, X..) [2] | Zhang, L. (Zhang, L..) [3]

Indexed by:

Scopus PKU CSCD

Abstract:

An extension linear spectral model based on total least square algorithm is proposed, and iteratively abstract the better endmembers and physically based constrained algorithm with this model are presented. The results show that the proposed model provides better accuracy than traditional least square method, the total estimating precision improves by 10%-20%.

Keyword:

Endmember spactra; Iterative unmixing; Mixture pixel; Total least square

Community:

  • [ 1 ] [Wu, B.]Key Lab. of Data Mining and Information Sharing, Ministry of Education, Fuzhou University, 523 Gongye Road, Fuzhou 350002, China
  • [ 2 ] [Wang, X.]Spatial Information Research Center of Fujian Province, Fuzhou University, 523 Gongye Road, Fuzhou 350002, China
  • [ 3 ] [Zhang, L.]State Kay Lab. for Information Engineering in Survying Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan 430079, China

Reprint 's Address:

  • [Wu, B.]Key Lab. of Data Mining and Information Sharing, Ministry of Education, Fuzhou University, 523 Gongye Road, Fuzhou 350002, China

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Source :

Geomatics and Information Science of Wuhan University

ISSN: 1671-8860

Year: 2008

Issue: 5

Volume: 33

Page: 457-460,468

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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