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Synthetic Aperture Radar (SAR) imagery to monitor oil spills are some methodsthat have been proposed for the West African sub-region. With the increase inthe number of oil exploration companies in Ghana (and her neighbors) and therise in the coastal activities in the sub-region, there is the need for propermonitoring of the environmental impact of these socio-economic activities onthe environment. Detection and near real-time information about oil spills arefundamental in reducing oil spill environmental impact. SAR images are prone tosome noise, which is predominantly speckle noise around the coastal areas. Thispaper evaluates the performance of the mean and median filters used in thepreprocessing filtering to reduce speckle noise in SAR images for most imageprocessing algorithms.

On the Performance of Filters for Reduction of Speckle Noise in SAR Images off the Coast of the Gulf of Guinea