Segmentation of Synthetic Aperture Radar Images by PDE Approach

##article.authors##

  • 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

##semicolon##

https://doi.org/10.1685/

##semicolon##

Level set##common.commaListSeparator## SAR image segmentation##common.commaListSeparator## anisotropic diffusion

##article.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

##submission.downloads##

##submission.additionalFiles##

##submissions.published##

2009-08-12

##issue.issue##

##issue.vol## 3 (2009)

##section.section##

Articles

##submission.license##

Authors who submit to this journal agree to the following terms: a) Authors retain copyright over their work, while allowing the SIMAI to place this accepted work under a Creative Commons Attribution License (CC license), which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship. b) Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book). with an acknowledgement of its initial publication on “Communications to SIMAI Congress”. c) In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website).