Fuzzy learning vector quantization for hyperspectral coastal vegetation classification

Remote Sensing of Environment

Volumn 100, Issue 4, 2006, Pages 512-530

  Filippi, Anthony M ^a   Jensen, John R ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTH CAROLINA   (United States)

Author keywords

Artificial neural network; Fuzzy sets; Hyperspectral methods; Learning vector quantization; Remote sensing; Wetlands

Indexed keywords

BACKPROPAGATION; FUZZY SETS; LEARNING SYSTEMS; MAPPING; NEURAL NETWORKS; VEGETATION; WETLANDS;

HYPERSPECTRAL METHODS; LEARNING VECTOR QUANTIZATION; SELF-ORGANIZING MAPS (SOM);

VECTOR QUANTIZATION;

ARTIFICIAL NEURAL NETWORK; FUZZY MATHEMATICS; IMAGE CLASSIFICATION; REMOTE SENSING;

CATHA EDULIS;

EID: 32244435216     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2005.11.007     Document Type: Article

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