Journal
INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 21, Issue 18, Pages 3561-3566Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/014311600750037589
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A probabilistic approach to distinguish oil spills from other similar oceanic features in marine Synthetic Aperture Radar ( SAR) images has been developed and tested. The method uses statistical information obtained from previous mesurements of physical and geometrical characteristics for both oil spill and natural features. A sample image is evaluated using two different procedures to determine the probability that it is an oil spill, the results of the two procedures are then compared. The classification-algorithm performance was evaluated using a test dataset containing 80 examples that were oil spills and 43 that were natural features exhibiting characteristics similar to oil spills: more than 80% of the samples were classified correctly. The reliability of the method was then determined using a new dataset and similar results were obtained.
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