Classifiers and Confidence Estimation for Oil Spill Detection in ENVISAT ASAR Images

Abstract

An improved classification approach is proposed for automatic oil spill detection in synthetic aperture radar images. The performance of statistical classifiers and support vector machines is compared. Regularized statistical classifiers prove to perform the best on this problem. To allow the user to tune the system with respect to the tradeoff between the… (More)
DOI: 10.1109/LGRS.2007.907174

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