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

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.
9781424425228
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/200675
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