Markov random fields for SAR image analysis and 3D reconstruction

Florence Tupin

doi:10.1117/12.695459

5 October 2006 Markov random fields for SAR image analysis and 3D reconstruction

Florence Tupin

Proceedings Volume 6365, Image and Signal Processing for Remote Sensing XII; 636501 (2006) https://doi.org/10.1117/12.695459
Event: SPIE Remote Sensing, 2006, Stockholm, Sweden

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.

Citation Download Citation

Florence Tupin "Markov random fields for SAR image analysis and 3D reconstruction", Proc. SPIE 6365, Image and Signal Processing for Remote Sensing XII, 636501 (5 October 2006); https://doi.org/10.1117/12.695459

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