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18 October 2016 Contextual filtering method applied to sub-bands of interferometric image decomposition
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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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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);

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