A maximum entropy approach to unsupervised mixed-pixel decomposition

IEEE Transactions on Image Processing

Volumn 16, Issue 4, 2007, Pages 1008-1021

  Miao, Lidan ^a   Qi, Hairong ^a   Szu, Harold ^b  

^a University of Tennessee   (United States)

^b George Washington University   (United States)

Author keywords

Endmember; Hyperspectral data; Least squares; Maximum entropy; Mixed pixel decomposition; Spectral signature

Indexed keywords

ALGORITHMS; CHARACTER RECOGNITION; ERRORS; GEOMETRY; LEAST SQUARES APPROXIMATIONS; NUMERICAL METHODS; PIXELS; SPECTRUM ANALYSIS;

GRADIENT DESCENT MAXIMUM ENTROPY (GDME); HYPERSPECTRAL DATA; LEAST SQUARES ERROR; MIXED-PIXEL DECOMPOSITION; SPECTRAL SIGNATURE;

ELECTRONIC DOCUMENT IDENTIFICATION SYSTEMS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; ENTROPY; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; ENTROPY; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 34047244201     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2006.891350     Document Type: Article

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