Segmentation of Synthetic Aperture Radar Images by PDE Approach

Auteurs-es

  • Rossella Cossu IAC-CNR Roma
  • Maria Mercede Cerimele IAC-CNR Roma
  • Luigi Cinque Dipartimento Informatica, Sapienza Universita' di Roma
  • Andrea Di Pasquale Consorzio per l’Informatica e la Telematica, Matera
  • Roberta Galiffa Dipartimento Informatica, Sapienza Universita' di Roma

DOI :

https://doi.org/10.1685/

Mots-clés :

Level set, SAR image segmentation, anisotropic diffusion

Résumé

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

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Publié

2009-08-12

Numéro

Vol. 3 (2009)

Rubrique

Articles

Licence

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