Hopfield neural network based mixed pixel unmixing for multispectral data

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7084, Issue , 2008, Pages

  Mei, Shaohui ^a,b   Feng, David ^b,c   He, Mingyi ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b UNIVERSITY OF SYDNEY   (Australia)

^c HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVATION FUNCTIONS; ANALYTICAL SOLUTIONS; CONSTRAINED LEAST SQUARES; END MEMBERS; ENERGY FUNCTIONS; FULLY CONSTRAINED LINEAR UNMIXING; GRADIENT DESCENTS; LEAST SQUARES; LINEAR MIXTURE MODELS; MAXIMUM ENTROPIES; MIXED PIXELS; MULTISPECTRAL DATUMS; NOISE ENERGIES; NOISE LEVELS; NONNEGATIVE CONSTRAINTS; QUANTITATIVE ANALYSES; REAL DATUMS; REMOTE SENSING IMAGES; SIMULATED DATUMS; SPATIAL RESOLUTIONS; UNMIXING;

ALGORITHMS; CURVE FITTING; HOPFIELD NEURAL NETWORKS; IMAGE CLASSIFICATION; IMAGE RECONSTRUCTION; KETONES; NEURAL NETWORKS; PIXELS; PROBABILITY DENSITY FUNCTION; REMOTE SENSING; SPACE OPTICS;

DATA COMPRESSION;

EID: 56249110205     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.796341     Document Type: Conference Paper

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