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Unwrapping method for interferometric images

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.
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Submitted on : Thursday, November 4, 2010 - 1:39:16 PM
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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, IEEE, Apr 1997, Munich, Germany. pp.2853-2856, ⟨10.1109/ICASSP.1997.595384⟩. ⟨inria-00532701⟩



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