A generalized linear mixing model for hyperspectral imagery

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 6966, Issue , 2008, Pages

  Gillis, David ^a   Bowles, Jeffrey ^a   Ientilucci, Emmett J ^b   Messinger, David W ^b  

^a NAVAL RESEARCH LABORATORY   (United States)

^b ROCHESTER INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Endmembers; Hyperspectral; Linear mixing; Physics based modeling

Indexed keywords

(0 , 1) VECTORS; AFFINE SUBSPACES; DE-MIXING; END MEMBERS; EXPERIMENTAL RESULTS; HYPER-SPECTRAL; HYPERSPECTRAL IMAGERY (HSI); IN ORDER; LINEAR MIXING MODEL (LMM); LINEAR SUBSPACES; MULTI DIMENSIONAL; MULTI-SPECTRAL (MS); NATURAL VARIATIONS; PHYSICS-BASED MODELLING; POST-PROCESSING; REAL WORLD; REAL WORLD DATA SETS; REAL-WORLD DATA; SUB PIXELS; ULTRASPECTRAL;

ALGORITHMS; COLOR IMAGE PROCESSING; EIGENVALUES AND EIGENFUNCTIONS; EVOLUTIONARY ALGORITHMS; FIBER OPTIC SENSORS; MIXING; SET THEORY; TARGETS; TECHNOLOGY;

MATHEMATICAL MODELS;

EID: 44949169707     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.782113     Document Type: Conference Paper

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