Geometric unmixing of large hyperspectral images: A barycentric coordinate approach

IEEE Transactions on Geoscience and Remote Sensing

Volumn 50, Issue 6, 2012, Pages 2185-2195

  Honeine, Paul ^a   Richard, Cédric ^b,c  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

^b UNIVERSITÉ DE NICE SOPHIA ANTIPOLIS   (France)

^c INSTITUT UNIVERSITAIRE DE FRANCE   (France)

Author keywords

Abundance estimation; Cramer's rule; endmember extraction; hyperspectral image; iterated constrained endmembers algorithm; N Findr; orthogonal subspace projection; simplex; simplex growing algorithm; unmixing spectral data; vertex component analysis

Indexed keywords

ABUNDANCE ESTIMATION; CRAMER'S RULE; ENDMEMBER EXTRACTION; ENDMEMBERS; HYPER-SPECTRAL IMAGES; N-FINDR; ORTHOGONAL SUBSPACE PROJECTION; SIMPLEX; SPECTRAL DATA; VERTEX COMPONENT ANALYSIS;

ALGORITHMS; ESTIMATION;

INDEPENDENT COMPONENT ANALYSIS;

ALGORITHM; COMPUTER SIMULATION; ESTIMATION METHOD; GEOMETRY; IMAGE ANALYSIS; PIXEL; SPECTRAL ANALYSIS;

EID: 84861345596     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2170999     Document Type: Article

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