Linear spectral mixing model for identifying potential missing Endmembers in spectral mixture analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn 52, Issue 5, 2014, Pages 3005-3012

  Zanotta, Daniel Capella ^a,b   Haertel, Victor ^c   Shimabukuro, Yosio Edemir ^a   Renno, Camilo Daleles ^a  

^a INSTITUTO NACIONAL DE PESQUISAS ESPACIAIS   (Brazil)

^b and Technology   (Brazil)

^c FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

Author keywords

Endmember extraction; residual term; spectral mixture analysis; uncertainty

Indexed keywords

VEGETATION;

CHINA-BRAZIL EARTH RESOURCES SATELLITES; ENDMEMBER EXTRACTION; KOLMOGOROV-SMIRNOV TEST; LINEAR SPECTRAL MIXING MODELS; MISSING ENDMEMBERS; RESIDUAL TERM; SPECTRAL MIXTURE ANALYSIS; UNCERTAINTY;

MIXTURES;

BARE SOIL; DATA SET; IMAGE ANALYSIS; LANDSAT THEMATIC MAPPER; NUMERICAL MODEL; SATELLITE DATA; SATELLITE IMAGERY; SPECTRAL ANALYSIS; SUSPENDED SEDIMENT; UNCERTAINTY ANALYSIS; VEGETATION;

EID: 84896313926     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2013.2268539     Document Type: Article

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