A Review of Oil-Spill Detection Techniques using Marine SAR images

Abstract

Oil spills have been a major cause of Marine Pollution and a risk to Marine Life. Due to its hazardous outcomes, Oil spill detection has become prominent job of marine inspectors. Also, many industries discharge there waste oil in Oceans to get rid of it without coming in notice of pollution control board. Such cases are known as illegal oil spills and such oil spills need to be detected as accurately and immediately as possible. To do so, many technologies are advent. SAR images have been employed in many cases to detect such spills mostly by human operators. To automate such thing, machine learning and classification based approaches are used. This paper reviews such techniques in order to evaluate the overall advancement in accuracy of detection of such techniques. phrases of reflection of the microwave. The brightness or depth worth defines the microwave backscattering houses of the skin