Cropland Detection with SAR Interferometry: A Segmentation Model

Abstract : Repeat-pass SAR interferometric data are multitemporal and display changes occurring between two acquisitions. As a consequence, phase and correlation images contains meaningful information that are usable for cropland monitoring. This paper proposes a statistical model to segment high phasimetric structures. It is expressed in a Markov random field framework by using cooperatively phase and correlation information
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Communication dans un congrès
Proceedings of International Conference on Acoustics, Speech, and Signal Processing, May 1998, Seattle, United States. 5, pp.2733-2736, 1998, 〈10.1109/ICASSP.1998.678088〉
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https://hal.inria.fr/inria-00532716
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:39:34
Dernière modification le : mardi 13 décembre 2016 - 15:40:32

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Etienne Huot, Isabelle Herlin. Cropland Detection with SAR Interferometry: A Segmentation Model. Proceedings of International Conference on Acoustics, Speech, and Signal Processing, May 1998, Seattle, United States. 5, pp.2733-2736, 1998, 〈10.1109/ICASSP.1998.678088〉. 〈inria-00532716〉

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