A Novel Approach for Multispectral Satellite Image Classification Based on the Bat Algorithm

IEEE Geoscience and Remote Sensing Letters

Volumn 13, Issue 4, 2016, Pages 599-603

  Senthilnath, J ^a,b   Kulkarni, Sushant ^a   Benediktsson, J A ^c   Yang, X S ^d  

^a INDIAN INSTITUTE OF SCIENCE   (India)

^b SOUTH DAKOTA STATE UNIVERSITY   (United States)

^c UNIVERSITY OF ICELAND   (Iceland)

^d MIDDLESEX UNIVERSITY   (United Kingdom)

Author keywords

Bat algorithm (BA); clustering; genetic algorithm (GA); multispectral satellite image; particle swarm optimization (PSO)

Indexed keywords

ALGORITHMS; CLUSTERING ALGORITHMS; CROPS; EXTRACTION; GENETIC ALGORITHMS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); PROBLEM SOLVING; REMOTE SENSING; SATELLITE IMAGERY; SATELLITES;

CROP CLASSIFICATION; CROP TYPE CLASSIFICATION; EXTRACT INFORMATIONS; GENETIC ALGORITHM AND PARTICLE SWARM OPTIMIZATIONS; META-HEURISTIC TECHNIQUES; MULTISPECTRAL SATELLITE IMAGE; PARTITIONAL CLUSTERING ALGORITHM; UNIVERSITY OF CALIFORNIA;

IMAGE CLASSIFICATION;

EID: 84979469488     PISSN: 1545598X     EISSN: None     Source Type: Journal    
DOI: 10.1109/LGRS.2016.2530724     Document Type: Article

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