Investigation of genetic algorithms contribution to feature selection for oil spill detection

International Journal of Remote Sensing

Volumn 30, Issue 3, 2009, Pages 611-625

  Topouzelis, K ^a,b   Stathakis, D ^a   Karathanassi, V ^b  

^a JOINT RESEARCH CENTRE   (Italy)

^b NATIONAL TECHNICAL UNIVERSITY OF ATHENS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GENETIC ALGORITHMS; OIL SPILLS; SYNTHETIC APERTURE RADAR;

CLASSIFICATION ACCURACY; FEATURE COMBINATION; OIL SPILL DETECTION; SAR IMAGES; STATISTICAL FEATURES;

FEATURE EXTRACTION;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; DATA SET; DETECTION METHOD; GENETIC ALGORITHM; IMAGE CLASSIFICATION; OIL SPILL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; SYNTHETIC APERTURE RADAR;

EID: 67650650025     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431160802339456     Document Type: Article

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