Title :
Oil spill detection using microwave images
Author :
Saranya, P. ; Vani, K.
Author_Institution :
Dept. of Inf. Sci. & Technol., Anna Univ., Chennai, India
Abstract :
Oil pollution is the major environmental concern in the world. It is important to detect oil spill and take necessary step to prevent pollution in marine ecosystem. Among several satellite, SAR can provide high resolution images with wide area coverage, day and night, and all weather capabilities. This paper presents anisotropic diffusion filtering and morphological levelling method for image simplification like denoising of SAR image and edge detection, this is one of the successful method for denoising of SAR image. Geometric level set segmentation is used to detect oil spill from SAR images.
Keywords :
edge detection; image denoising; image segmentation; marine pollution; microwave imaging; oil pollution; radar imaging; remote sensing by radar; synthetic aperture radar; SAR image denoising; anisotropic diffusion filtering; edge detection; geometric level set segmentation; high resolution images; image simplification; marine ecosystem; microwave images; morphological levelling method; oil pollution; oil spill detection; Ecosystems; Image edge detection; Image segmentation; Level set; Pollution; Satellites; Synthetic aperture radar; Anisotropic diffusion; SAR; level set; morphological levelling; oil spill;
Conference_Titel :
Advanced Computing (ICoAC), 2013 Fifth International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3447-8
DOI :
10.1109/ICoAC.2013.6922000
