Linear mixture analysis-based compression for hyperspectal image analysis

IEEE Transactions on Geoscience and Remote Sensing

Volumn 42, Issue 4, 2004, Pages 875-891

  Du, Qian ^a   Chang, Chein I ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b University of Marylandw Baltimore County   (United States)

Author keywords

Fully constrained least squares linear unmixing (FCLSLU); Hyperspectral data compression; Linear spectral mixture analysis (LSMA); Nonnegatively constrained least squares (NCLS); Unsupervised fully constrained least squares linear unmixing (UFCLSLU)

Indexed keywords

ALGORITHMS; CORRELATION METHODS; DATA COMPRESSION; IMAGE ANALYSIS; IMAGING TECHNIQUES; OPTICAL RESOLVING POWER; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING; SIGNAL TO NOISE RATIO; SPECTROMETERS; SPECTRUM ANALYSIS;

FULLY CONSTRAINED LEAST SQUARES LINEAR UNMIXING (FCLSLU); HYPERSPECTRAL DATA COMPRESSION; LINEAR SPECTRAL MIXTURE ANALYSIS (LSMA); NONNEGATIVELY CONSTRAINED LEAST SQUARES (NCLS0; UNSUPERVISED FULLY CONSTRAINED LEAST SQUARES LINEAR UNMIXING (UFCLSLU;

REMOTE SENSING;

EID: 2442498740     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2003.816668     Document Type: Article

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