N-FindR method versus independent component analysis for lithological identification in hyperspectral imagery

International Journal of Remote Sensing

Volumn 28, Issue 23, 2007, Pages 5315-5338

  Gomez, C ^a,b,c   Le Borgne, H ^b   Allemand, P ^a   Delacourt, C ^a   Ledru, P ^c  

^a UNIVERSITÉ LYON 1   (France)

^b Multilingual Multimedia Knowledge Engineering Laboratory   (France)

^c Lab de Phys Chimie de la Matiere   (France)

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; INDEPENDENT COMPONENT ANALYSIS; LEAST SQUARES APPROXIMATIONS; REFLECTION; SIGNAL PROCESSING;

FULLY CONSTRAINED LEAST SQUARES SPECTRAL MIXTURE ANALYSIS; HYPERSPECTRAL IMAGE;

LITHOLOGY;

ALGORITHM; GEOLOGICAL MAPPING; IDENTIFICATION METHOD; IMAGE ANALYSIS; IMAGING METHOD; LEAST SQUARES METHOD; LITHOLOGY; PIXEL; SEMIARID REGION; SIGNAL PROCESSING;

AFRICA; NAMIBIA; SOUTHERN AFRICA; SUB-SAHARAN AFRICA;

HYPERION;

EID: 41249092070     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160701227679     Document Type: Article

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