Abstract
This paper presents work done for oil spill detection along coastal waters. Consumers are primarily interested in automatic detection of oil spills. The main objective of this study is to develop an automatic model for oil spill detection. This model includes texture analysis and two types of algorithms (Lee and Gamma). Texture analysis, such as contrast analysis, was used to discriminate between oil and water. The Lee algorithm was used to determine the linearity of oil movements, while the Gamma algorithm was used to determine oil spill spreading. The results showed that texture analysis and Lee and Gamma algorithms can be good modules for automatic detection of oil spills by using SAR data. Such modules will be useful for rapid detection of oil spills and is illustrative for educational purposes.
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