Texture analysis to detect oil spills using Envisat ASAR images
Abstract
Oil spills can seriously affect the marine environment, especially mangrove ecosystems, seagrass, lagoons and coral reefs. Nowadays, synthetic aperture radar (SAR) satellite images have become the main tool to detect and monitor oil spills into the sea with sufficient accuracy. Due to the backscatter energy received by satellite microwave sensors and the declining wave fluctuations at oil slick, oil spills stand in contrast with the surrounding sea in SAR images, making it possible to automatically extract and classify oil spills on SAR data. This article presents the application of texture analysis method to detect and classify oil spills using Envisat ASAR data for the purpose of monitoring and minimising damage caused by oil pollution.
References
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Lê Minh Hằng. Nghiên cứu đề xuất phương pháp nhận dạng và phân loại vết dầu trên biển từ tư liệu viễn thám siêu cao tần. Luận án Tiến sỹ. Đại học Mỏ - Địa chất. 2013.
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