Markov Random Fields for SAR image analysis and 3D reconstruction

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Abstract

Markov Random Fields (MRF) are powerful methods to introduce contextual knowledge in image processing. In this paper, we aim at showing that they are well adapted to deal with many SAR applications, specially when using graphs of primitives. Three main applications are presented using the markovian framework: SAR image interpretation, road network detection and 3D reconstruction. For the last application, 3 situations are considered: interferometry, interferometry using an additional optical image and radargrammetry with optic. This paper gathers some previous and current works on the use of MRF for SAR image analysis.

Original languageEnglish
Title of host publicationImage and Signal Processing for Remote Sensing XII
DOIs
Publication statusPublished - 1 Dec 2006
Externally publishedYes
EventImage and Signal Processing for Remote Sensing XII - Stockholm, Sweden
Duration: 11 Sept 200614 Sept 2006

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume6365
ISSN (Print)0277-786X

Conference

ConferenceImage and Signal Processing for Remote Sensing XII
Country/TerritorySweden
CityStockholm
Period11/09/0614/09/06

Keywords

  • Height reconstruction
  • Interferometry
  • Markov Random Fields
  • Radargrammetry
  • SAR imagery
  • Urban areas

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