Unwrapping method for interferometric images

Etienne Huot 1 Isaac Cohen 1 Isabelle Herlin 1
1 AIR - Image Processing and Dynamic and Satellite Data
Inria Paris-Rocquencourt
Abstract : To analyze SAR interferometric data, an unwrapping process must be first performed. Most so far proposed solutions use either local or global methods. In this paper we propose a mixed method to solve this problem, based on a 3-step iterative process: a local unwrapping is first performed and then improved through a Markovian segmentation, false unwrapped residues are finally detected and corrected. A deterministic algorithm is used for the relaxation process; wrong unwrapped areas are corrected by a backtracking mechanism. Some results obtained by this approach, which presents a lower computational cost compared to complex stochastic unwrapping methods, are also presented.
Type de document :
Communication dans un congrès
Proceedings of International Conference on Acoustics, Speech, and Signal Processing, Apr 1997, Munich, Germany. 4, pp.2853-2856, 1997, 〈10.1109/ICASSP.1997.595384〉
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https://hal.inria.fr/inria-00532701
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:39:16
Dernière modification le : mardi 17 avril 2018 - 11:23:48

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Etienne Huot, Isaac Cohen, Isabelle Herlin. Unwrapping method for interferometric images. Proceedings of International Conference on Acoustics, Speech, and Signal Processing, Apr 1997, Munich, Germany. 4, pp.2853-2856, 1997, 〈10.1109/ICASSP.1997.595384〉. 〈inria-00532701〉

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