A Model For Detecting Phasimetric Sar Effects Coming From Rainy Events

Abstract : Important SAR phasimetric effects can be observed on the evolution of vegetation subjected to rainy periods. We present a segmentation model to detect these artefacts. It is based on a statistical model, expressed in a Markovian random field framework. The novelty of the approach resides in the use of both interferometric phase and coherence
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Communication dans un congrès
International Conference on Image Processing : ICIP'98, Oct 1998, Chicago, United States. 1, pp.592-596, 1998, 〈10.1109/ICIP.1998.723571〉
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https://hal.inria.fr/inria-00532718
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:39:42
Dernière modification le : vendredi 25 mai 2018 - 12:02:05

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Etienne Huot, Isabelle Herlin. A Model For Detecting Phasimetric Sar Effects Coming From Rainy Events. International Conference on Image Processing : ICIP'98, Oct 1998, Chicago, United States. 1, pp.592-596, 1998, 〈10.1109/ICIP.1998.723571〉. 〈inria-00532718〉

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