Nonlinear unmixing of hyperspectral images using radial basis functions and orthogonal least squares

International Geoscience and Remote Sensing Symposium (IGARSS)

Volumn , Issue , 2011, Pages 1151-1154

  Altmann, Y ^a   Dobigeon, N ^a   Tourneret, J Y ^a   McLaughlin, S ^b  

^a UNIVERSITÉ DE TOULOUSE   (France)

^b UNIVERSITY OF EDINBURGH   (United Kingdom)

Author keywords

hyperspectral image; Radial basis functions; spectral unmixing

Indexed keywords

ABUNDANCE ESTIMATION; CONSTRAINED ESTIMATION; ENDMEMBERS; EXTRACTION ALGORITHMS; HYPER-SPECTRAL IMAGES; LINEAR COMBINATIONS; NON-LINEAR UNMIXING; NONLINEAR MIXTURES; ORTHOGONAL LEAST SQUARES; ORTHOGONAL LEAST SQUARES ALGORITHM; RADIAL BASIS FUNCTIONS; SPECTRAL LIBRARIES; SPECTRAL UNMIXING; SYNTHETIC AND REAL DATA; TRAINING SAMPLE; UNMIXING;

ALGORITHMS; ESTIMATION; GEOLOGY; IMAGE SEGMENTATION; INDEPENDENT COMPONENT ANALYSIS; RADIAL BASIS FUNCTION NETWORKS; REMOTE SENSING;

ORTHOGONAL FUNCTIONS;

EID: 80955128682     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IGARSS.2011.6049401     Document Type: Conference Paper

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