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Endmember extraction based on modified Iterative Error Analysis.

Authors :
Wang, Liguo
Wei, Fangjie
Liu, Danfeng
Wang, Ying
Wang, Qunming
Source :
2013 IEEE International Geoscience & Remote Sensing Symposium - IGARSS; 2013, p1071-1074, 4p
Publication Year :
2013

Abstract

Iterative Error Analysis (IEA) widely known as a good endmember extraction (EE) algorithm. It is robust, automatic and free of data transformation. However, IEA is faced with risks in some cases due to the sole use of unmxing distance, and its speed is lowed down by the iteration-based linear spectral mixture analysis (LSMA). To make IEA algorithm faster and more robust, its modified version is proposed based on two substitutions. One is substituting integrated distance for unmxing distance, which makes the algorithm more robust. The other is substituting SVM-based multiple endmember spectral mixture analysis (MESMA) for iteration-based LSMA, which speeds up the algorithm greatly. Experiments show that the modified IEA algorithm outperforms original one in terms of both robustness and running speed. [ABSTRACT FROM PUBLISHER]

Details

Language :
English
ISBNs :
9781479911141
Database :
Complementary Index
Journal :
2013 IEEE International Geoscience & Remote Sensing Symposium - IGARSS
Publication Type :
Conference
Accession number :
94535140
Full Text :
https://doi.org/10.1109/IGARSS.2013.6721349