Oil spill detection using microwave images

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.

[1]  Joachim Weickert,et al.  Anisotropic diffusion in image processing , 1996 .

[2]  Petros Maragos,et al.  Nonlinear Scale-Space Representation with Morphological Levelings , 2000, J. Vis. Commun. Image Represent..

[3]  Leonard J. Porcello,et al.  An introduction to synthetic-aperture radar , 1969, IEEE Spectrum.

[4]  A. Solberg,et al.  Oil spill detection by satellite remote sensing , 2005 .

[5]  Jitendra Malik,et al.  Scale-Space and Edge Detection Using Anisotropic Diffusion , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Konstantinos Karantzalos,et al.  Automatic detection and tracking of oil spills in SAR imagery with level set segmentation , 2008 .

[7]  Anthony J. Yezzi,et al.  Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification , 2001, IEEE Trans. Image Process..

[8]  T. M. Lillesand,et al.  Remote Sensing and Image Interpretation , 1980 .

[9]  A. Giancaspro,et al.  Automatic detection of oil spills from SAR images , 2005 .

[10]  B. Fiscella,et al.  Oil spill detection using marine SAR images , 2000 .

[11]  Konstantinos Karantzalos,et al.  Combining anisotropic diffusion and alternating sequential filtering for satellite image enhancement and smoothing , 2004, SPIE Remote Sensing.

[12]  Corinne Vachier.  Morphological scale-space analysis and feature extraction , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[13]  Ming-Xia He,et al.  Identification of ocean oil spills in SAR imagery based on fuzzy logic algorithm , 2010 .

[14]  D. Mumford,et al.  Optimal approximations by piecewise smooth functions and associated variational problems , 1989 .

[15]  Alaa F. Sheta,et al.  Detection of Oil Spills in SAR Images using Threshold Segmentation Algorithms , 2012 .

[16]  Pierre Soille,et al.  Advances in mathematical morphology applied to geoscience and remote sensing , 2002, IEEE Trans. Geosci. Remote. Sens..

[17]  Konstantinos Karantzalos,et al.  Improving edge detection and watershed segmentation with anisotropic diffusion and morphological levellings , 2006 .