A machine learning approach for finding hyperspectral endmembers

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2007, Pages 3817-3820

  Banerjee, Amit ^a   Burlina, Philippe ^a   Broadwater, Joshua ^a,b  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Endmember extraction; Hyperspectral processing; Support vector methods

Indexed keywords

ENDMEMBER EXTRACTION; HYPERSPECTRAL IMAGE; HYPERSPECTRAL PROCESSING; SUPPORT VECTOR METHODS;

AUTOMATION; COMPUTATIONAL METHODS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; VECTORS;

SUPPORT VECTOR MACHINES;

EID: 82355186673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2007.4423675     Document Type: Conference Paper

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