An approach to oil spill detection is presented using optical satellite images. Features from SAR literature are studied. Different statistical and neural network-based classifiers are used in order to perform a supervised automatic classification and their performances are compared. The promising results achieved on the collected dataset encourage a further analysis of the potential of the optical oil spill detection approach.
Issues and Preliminary Results in Oil Spill Detection Using Optical Remotely Sensed Images
COCOCCIONI, MARCO;LAZZERINI, BEATRICE
2009-01-01
Abstract
An approach to oil spill detection is presented using optical satellite images. Features from SAR literature are studied. Different statistical and neural network-based classifiers are used in order to perform a supervised automatic classification and their performances are compared. The promising results achieved on the collected dataset encourage a further analysis of the potential of the optical oil spill detection approach.File in questo prodotto:
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