Title :
Issues and preliminary results in oil spill detection using optical remotely sensed images
Author :
Cococcioni, Marco ; Corucci, Linda ; Lazzerini, Beatrice
Author_Institution :
Dipt. di Ing. dell´´Inf.: Elettron., Inf., Telecomun., Univ. of Pisa, Pisa, Italy
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.
Keywords :
fuzzy systems; geophysics computing; microorganisms; neural nets; oceanographic techniques; oil pollution; optical images; pattern classification; remote sensing by radar; synthetic aperture radar; SAR literature; automatic classification; neural network; neuro-fuzzy system; oil spill detection; optical remote sensing image; pattern classification; synthetic-aperture radar; Adaptive optics; Backscatter; Neural networks; Optical detectors; Optical sensors; Petroleum; Radar detection; Satellites; Software architecture; Synthetic aperture radar; Neuro-Fuzzy Systems; Oil Spill Detection; Optical Satellite Images; Pattern Classification; Remote Sensing;
Conference_Titel :
OCEANS 2009 - EUROPE
Conference_Location :
Bremen
Print_ISBN :
978-1-4244-2522-8
Electronic_ISBN :
978-1-4244-2523-5
DOI :
10.1109/OCEANSE.2009.5278304
