A comparative study of different classification techniques for marine oil spill identification using RADARSAT-1 imagery

Remote Sensing of Environment

Volumn 141, Issue , 2014, Pages 14-23

  Xu, Linlin ^a   Li, Jonathan ^a,b   Brenning, Alexander ^a  

^a UNIVERSITY OF WATERLOO   (Canada)

^b XIAMEN UNIVERSITY   (China)

Author keywords

Artificial neural network; Bootstrap aggregated tree based methods; Classifier comparison; Generalized additive model; Marine oil spill detection; Penalized linear discriminant analysis; SAR; Support vector machine

Indexed keywords

GENERALIZED ADDITIVE MODEL; LINEAR DISCRIMINANT ANALYSIS; OIL-SPILL DETECTIONS; SAR; TREE-BASED METHODS;

IMAGE RETRIEVAL; LEARNING ALGORITHMS; NEURAL NETWORKS; OIL SPILLS; STATISTICAL METHODS; SUPPORT VECTOR MACHINES;

SYNTHETIC APERTURE RADAR;

ARTIFICIAL NEURAL NETWORK; COMPARATIVE STUDY; DATA SET; DISCRIMINANT ANALYSIS; IMAGE CLASSIFICATION; LEARNING; OIL SPILL; SATELLITE DATA; SATELLITE IMAGERY; STANDARDIZATION; SYNTHETIC APERTURE RADAR;

EID: 84887587607     PISSN: 00344257     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.rse.2013.10.012     Document Type: Article

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