The utility of wavelet analysis as a tool for automatic oceanicinternal wave detection from SAR ocean images is examined using the 2Dwavelet transform. A method for coastline detection based on a sequenceof basic-processing procedures followed by a contour tracing algorithmis also introduced in order to have sea-land separation to enhance theinternal wave detection problem. Then, the image is wavelet transformedwith various scales to finally extract the internal wave structuresbased on the first and second order statistics. The results from thisstudy show that wavelet analysis is an excellent tool to detect andlocate internal waves from SAR ocean images against background noise
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