Segmentation of Synthetic Aperture Radar Images by PDE Approach
Abstract
In this paper we propose and compare two approaches, based on the level set method
in order to extract the coastline from SAR (Synthetic Aperture Radar) images. A coast-
line is the boundary between land and sea. Detecting the coastline is of fundamental
importance when monitoring various natural phenomena such as tides, coastal erosion
and the dynamics of glaciers. In this case SAR images show problems which arise from
the presence of the speckle noise and of the strong signal deriving from the rough or slight
sea. In fact in the case of heavy sea the signal determines an intensity similar to the one
of land, making it difficult to distinguish the coastline.
[DOI: 10.1685/CSC09249] About DOI
in order to extract the coastline from SAR (Synthetic Aperture Radar) images. A coast-
line is the boundary between land and sea. Detecting the coastline is of fundamental
importance when monitoring various natural phenomena such as tides, coastal erosion
and the dynamics of glaciers. In this case SAR images show problems which arise from
the presence of the speckle noise and of the strong signal deriving from the rough or slight
sea. In fact in the case of heavy sea the signal determines an intensity similar to the one
of land, making it difficult to distinguish the coastline.
[DOI: 10.1685/CSC09249] About DOI
Keywords
Level set, SAR image segmentation, anisotropic diffusion
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PDFDOI: https://doi.org/10.1685/
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