Contextual filtering method applied to sub-bands of interferometric image decomposition

S. Belhadj-Aissa; F. Hocine; M. S. Boughacha; M. Belhadj-Aissa

doi:10.1117/12.2240922

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18 October 2016 Contextual filtering method applied to sub-bands of interferometric image decomposition

S. Belhadj-Aissa, F. Hocine, M. S. Boughacha, M. Belhadj-Aissa

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Proceedings Volume 10003, SAR Image Analysis, Modeling, and Techniques XVI; 100030D (2016) https://doi.org/10.1117/12.2240922
Event: SPIE Remote Sensing, 2016, Edinburgh, United Kingdom

Abstract

The precision and accuracy of Digital elevation model and deformation measurement, from SAR interferometry (InSAR/DInSAR) depend mainly on the quality of the interferogram. However, the phase noise, which is mainly due to decorrelation between the images and the speckle, makes the step of phase unwrapping most delicate. In this paper, we propose a filtering method that combines the techniques of decomposition into sub-bands and nonlinear local weights. The Spectral / Contextual filter that we propose, inspired from to Goldstein filter is applied to the sub-bands from the wavelet decomposition. To validate the results, we applied to interferometric products tandem pair ERS1/ERS2 taken in the region of Algiers Algeria.

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S. Belhadj-Aissa, F. Hocine, M. S. Boughacha, and M. Belhadj-Aissa "Contextual filtering method applied to sub-bands of interferometric image decomposition", Proc. SPIE 10003, SAR Image Analysis, Modeling, and Techniques XVI, 100030D (18 October 2016); https://doi.org/10.1117/12.2240922

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