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Proceedings Paper

Noise-robust phase-unwrapping method in radar interferometry
Author(s): H. Tarayre; Didier Massonnet; J. A. Sirat
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Paper Abstract

Synthetic aperture radar (SAR) interferometry is a technique based on the exploitation of the interference pattern of two SAR images acquired in similar geometric conditions, at two different dates. This technique has a very broad range of applications. It is used to generate digital elevation models (DEM). It also can detect centimeter-size changes on the ground surface. In order to extract topography from interferograms, the interference pattern has to be unwrapped and transformed into altitude. Phase unwrapping is one of the most difficult parts of the process and has become one of the most studied subjects in the interferometric community. In this paper, we present a new phase unwrapping method, based on a global analysis of the interferogram. The interferogram is divided into surface elements that can be modeled by local slopes. A model of the unwrapped phase is computed thanks to these elementary surfaces. We show that the interferogram can be unwrapped using the computed model as soon as the differences between the model and the interferogram are smaller than half a fringe on the entire image. Then, we present two algorithms based on this method, an automatic one and an interactive one. We discuss the performances of each algorithm on test sites. We show that the automatic algorithm is very efficient in noisy areas, and that the interactive one can be of interest in areas with shadow or overlay. Finally, possibilities of improvements are discussed.

Paper Details

Date Published: 21 November 1995
PDF: 9 pages
Proc. SPIE 2584, Synthetic Aperture Radar and Passive Microwave Sensing, (21 November 1995); doi: 10.1117/12.227140
Show Author Affiliations
H. Tarayre, Matra SA (France)
Didier Massonnet, CNES (France)
J. A. Sirat, Matra SA (France)


Published in SPIE Proceedings Vol. 2584:
Synthetic Aperture Radar and Passive Microwave Sensing
Giorgio Franceschetti; Christopher John Oliver; James C. Shiue; Shahram Tajbakhsh, Editor(s)

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