A new endmember extraction algorithm based on orthogonal bases of subspace formed by endmembers

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2007, Pages 2006-2009

  Tao, Xuetao ^a   Wang, Bin ^a   Zhang, Liming ^a   Zhang, Jian Qiu ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

Decomposition of mixed pixels; Hyperspectral multispectral remote sensing images; Nonnegative matrix factorization

Indexed keywords

DECOMPOSITION OF MIXED PIXELS; HYPERSPECTRAL/MULTISPECTRAL REMOTE SENSING IMAGES; NONNEGATIVE MATRIX FACTORIZATION;

COMPUTATIONAL COMPLEXITY; MATRIX ALGEBRA; PIXELS; REMOTE SENSING;

FEATURE EXTRACTION;

EID: 82355163294     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423223     Document Type: Conference Paper

References (9)

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8. Daniel C. Heinz, and Chein-I Chang, "Fully Constrained Least Squares Linear Spectral Mixture Analysis Method for Material Quantification in Hyperspectral Imagery," IEEE Transactions on Geoscience and Remote Sensing, VOL. 39, NO. 3, March 2001.
9. Http://speclab.cr.usgs.gov/cuprite.html