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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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https://hal.inria.fr/inria-00532716
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Submitted on : Thursday, November 4, 2010 - 1:39:34 PM
Last modification on : Thursday, February 3, 2022 - 11:18:54 AM

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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, IEEE, May 1998, Seattle, United States. pp.2733-2736, ⟨10.1109/ICASSP.1998.678088⟩. ⟨inria-00532716⟩

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