Rights accessRestricted access - publisher's policy
In this paper, the applications of advanced polarimetric optimization techniques for Differential Interferometric
SAR (DInSAR) pixel selection are explored in the framework of deformation map retrieval in landslides. Unfortunately,
most of high mountain landslides occur on vegetated areas with a poor density of coherent scatterers
that with a fast decorrelation at X-band. The objective of the techniques proposed in this paper is to increase
the number of pixels with good quality, and thus the robustness of DInSAR algorithms, by exploiting the larger
density of coherent scatterers present in polarimetric SAR data. Using Ground-Based SAR zero-baseline fullypolarimetric
data sets, the relationship between optimum coherences and its corresponding phase in terms of
DInSAR application is carefully analyzed. In the paper, different coherence optimization methods available in
the literature are studied. The main advantages and drawbacks of the different approaches are drawn.
CitationIglesias, R. [et al.]. Advanced polarimetric optimization for DInSAR applications with Ground-Based SAR. A: European Conference on Synthetic Aperture Radar. "Proceedings of EUSAR 2012: 9th European conference on syntethic aperture radar". Nürnberg: 2012, p. 513-516.
All rights reserved. This work is protected by the corresponding intellectual and industrial property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public communication or transformation of this work are prohibited without permission of the copyright holder. If you wish to make any use of the work not provided for in the law, please contact: firstname.lastname@example.org