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Proceedings Paper

A methodology for outperforming filtering results in the interferometric process
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Paper Abstract

In this study, a method for reducing the filtering effects on the interferometric phase signal is proposed. Theoretical analysis showed that while noise reduction is maximized after filtering, the loose of interferometric phase signal is also maximized. This state has been also verified by observations on SAR interferometric data where pixels with high coherence value, which are assumed to contain a lot of information, presented lower coherence values after SAR image filtering.

The proposed method performs interferometric phase modeling. The method recovers the signal after the interferometric filtering for the pixels that loss of information is observed. The selection of these pixels is based on the decrease of their coherence value after the filtering. Signal recovery is associated to the preservation of the initial values for these pixels. Consequently, the method prevents the decrease of the coherence values for these pixels.

Performance of the method depends on the performance of the used filter; however, it always improves the interferometric results. Since the phase signal is the basis for the DEM production, its preservation improves all the steps of the interferometric procedure, especially the phase unwapping. Effects of the method on the final interferometric product, the DEM, are also evident.

The proposed method was evaluated using real interferometric data. Experiments showed that the applied filters within this study, did not always improve the accuracy of the produced DEM. Sub-images for which filtering does not improve their mean coherence value have been selected and the proposed method has been applied. For these sub-images, coherence values and RMS errors of the produced DEMs showed that the method improves the results of the interferometric procedure. It compensates the negative effects of the filtering for these sub-images and leads to the improvement of the DEM accuracy in the majority of the cases.

Paper Details

Date Published: 15 October 2015
PDF: 16 pages
Proc. SPIE 9642, SAR Image Analysis, Modeling, and Techniques XV, 96420Z (15 October 2015); doi: 10.1117/12.2194821
Show Author Affiliations
A. Saqellari-Likoka, National Technical Univ. of Athens (Greece)
V. Karathanassi, National Technical Univ. of Athens (Greece)


Published in SPIE Proceedings Vol. 9642:
SAR Image Analysis, Modeling, and Techniques XV
Claudia Notarnicola; Simonetta Paloscia; Nazzareno Pierdicca, Editor(s)

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