Fully constrained least squares linear spectral mixture analysis method for material quantification in hyperspectral imagery

IEEE Transactions on Geoscience and Remote Sensing

Volumn 39, Issue 3, 2001, Pages 529-545

  Heinz, Daniel C ^a,b   Chang, Chein I ^a,b  

^a IEEE   (United States)

^b University of Marylandw Baltimore County   (United States)

Author keywords

Fully constrained least squares (FCLS); Linear spectral mixture analysis (LSMA); Nonnegatively constrained least squares (NCLS); Sum to one constrained least squares (SCLS); Unsupervised FCLS (UFCLS)

Indexed keywords

FULLY CONSTRAINED LEAST SQUARES (FCLS); LEAST SQUARES ERROR (LSE); LINEAR SPECTRAL MIXTURE ANALYSIS (LSMA);

ALGORITHMS; COMPUTER SIMULATION; IMAGE ANALYSIS; INFRARED IMAGING; LEAST SQUARES APPROXIMATIONS; OPTIMIZATION;

REMOTE SENSING;

EID: 0035273728     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/36.911111     Document Type: Article

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