Spectral-spatial endmember extraction by singular value decomposition for AVIRIS data

2009 4th IEEE Conference on Industrial Electronics and Applications, ICIEA 2009

Volumn , Issue , 2009, Pages 1472-1476

  Mei, Shaohui ^a   He, Mingyi ^a   Wang, Zhiyong ^b   Feng, Dagan ^b  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Endmember extraction; Hyper spectral remote sensing; Spatial spectral; Spectral mixture analysis

Indexed keywords

AVIRIS DATA; CONSTRAINED LEAST SQUARES; ENDMEMBER EXTRACTION; ENDMEMBERS; HYPER-SPECTRAL REMOTE SENSING; HYPERSPECTRAL DATA; HYPERSPECTRAL REMOTE SENSING IMAGE; MIXED PIXEL; REFINEMENT ALGORITHMS; SPATIAL DISTRIBUTION; SPATIAL NEIGHBORHOODS; SPATIAL-SPECTRAL; SPECTRAL CHARACTERISTICS; SPECTRAL INFORMATION; SPECTRAL MIXTURE ANALYSIS;

CLUSTER ANALYSIS; GRAPH THEORY; IMAGE ANALYSIS; IMAGE RECONSTRUCTION; INDUSTRIAL ELECTRONICS; INFRARED SPECTROMETERS; MIXTURES; PIXELS; REMOTE SENSING; SINGULAR VALUE DECOMPOSITION; SIZE DISTRIBUTION;

CLUSTERING ALGORITHMS;

EID: 70349306378     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2009.5138385     Document Type: Conference Paper

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