Share Email Print
cover

Proceedings Paper

Contextual filtering method applied to sub-bands of interferometric image decomposition
Author(s): S. Belhadj-Aissa; F. Hocine; M. S. Boughacha; M. Belhadj-Aissa
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 18 October 2016
PDF: 8 pages
Proc. SPIE 10003, SAR Image Analysis, Modeling, and Techniques XVI, 100030D (18 October 2016); doi: 10.1117/12.2240922
Show Author Affiliations
S. Belhadj-Aissa, Univ. of Sciences and Technology Houari Boumediene (Algeria)
F. Hocine, Univ. of Sciences and Technology Houari Boumediene (Algeria)
M. S. Boughacha, Univ. of Sciences and Technology Houari Boumediene (Algeria)
M. Belhadj-Aissa, Univ. of Sciences and Technology Houari Boumediene (Algeria)


Published in SPIE Proceedings Vol. 10003:
SAR Image Analysis, Modeling, and Techniques XVI
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca; Edward Mitchard, Editor(s)

© SPIE. Terms of Use
Back to Top