Entropy algorithm for automatic detection of oil spill from radarsat-2 SAR data

8th International Symposium of the Digital Earth

地球科学;计算机科学

Marghany, M.^1 ; Van Genderen, J.^1

Institute of Geospatial Science and Technology (INSTeG), Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor Bahru, Malaysia^1

关键词: Automatic Detection;    Automatic tools;    Entropy algorithms;    Gulf of Mexico;    Oil spill detection;    Operational characteristics;    Satellite data;    Sea roughness;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/18/1/012051/pdf
DOI  :  10.1088/1755-1315/18/1/012051

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Synthetic aperture radar (SAR) is a precious foundation of oil spill detection, surveying and monitoring that improves oil spill detection by various approaches. The main objective of this work is to design automatic detection procedures for oil spill in synthetic aperture radar (SAR) satellite data. In doing so the Entropy algorithm tool was designed to investigate the occurrence of oil spill in Gulf of Mexico using RADARSAT-2 SAR satellite data. The study shows that entropy algorithm provides accurate pattern of oil slick in SAR data. This shown by 90% for oil spill, 3% look-alike and 7% for sea roughness using the receiver -operational characteristics (ROC) curve. It can therefore be concluded Entropy algorithm can be used as automatic tool for oil spill detection in RADARSAT-2 SAR data.