Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Journal of Computational Physics
Coastline extraction from SAR images and a method for the evaluation of the coastline precision
Pattern Recognition Letters - Special issue: Pattern recognition for remote sensing (PRRS 2002)
Multiregion Level-Set Partitioning of Synthetic Aperture Radar Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Coastline Detection from SAR Images by Level Set Model
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Speckle reducing anisotropic diffusion
IEEE Transactions on Image Processing
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In this paper, we propose an approach based on the level set method for segmenting SAR (Synthetic Aperture Radar) images. In particular, the segmentation process presented consists in the evolution of an initial curve, including the interested region, until it reaches the boundary of the area to be extracted. The procedure proposed allows to obtain the same result of segmentation independently of the initial position of the curve. The results are shown on both synthetic and real images. The analyzed images are SAR PRI (Precise Images), acquired during the mission ERS2.