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Proceedings Paper

Markov random fields for SAR image analysis and 3D reconstruction
Author(s): Florence Tupin
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Paper 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.

Paper Details

Date Published: 5 October 2006
PDF: 8 pages
Proc. SPIE 6365, Image and Signal Processing for Remote Sensing XII, 636501 (5 October 2006); doi: 10.1117/12.695459
Show Author Affiliations
Florence Tupin, GET-Télécom Paris (France)

Published in SPIE Proceedings Vol. 6365:
Image and Signal Processing for Remote Sensing XII
Lorenzo Bruzzone, Editor(s)

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