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Proceedings Paper

WLMS-RG combined unwrapping method
Author(s): Oscar Mora; Marc Bara; Antoni Broquetas
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Paper Abstract

In this paper we evaluate a combined phase unwrapping method that improves the results in difficult areas (containing noise and discontinuities) taking advantage of the Region Growing (RG) and Weighted Least Mean Square (WLMS) algorithms. The performance of the combined method is based on the following steps. Starting from the wrapped phase, a binary mask is calculated using a first RG solution, in order to generate a mask which is able to consider low-quality pixels. Afterwards, the WLMS solution is calculated using the wrapped phase and the RG mask. To obtain this WLMS solution it is not necessary to compute many iterations, since the objective of this step is just to ease the subsequent RG process. Therefore, the calculation time is smaller than with a WLMS solution separately, because it needs a larger number of iterations to converge. As commented, at this stage the RG algorithm is applied in order to unwrap the error of the WLMS solution, which is expected to have less noise than the input interferogram. Therefore, the RG is able to handle its values in a relatively easy manner. Finally, the first WLMS solution and the unwrapped error are added to obtain the desired unwrapped phase.

Paper Details

Date Published: 21 December 2000
PDF: 10 pages
Proc. SPIE 4173, SAR Image Analysis, Modeling, and Techniques III, (21 December 2000); doi: 10.1117/12.410653
Show Author Affiliations
Oscar Mora, Univ. Politecnica de Catalunya (Spain)
Marc Bara, Institut de Geomatica (Spain)
Antoni Broquetas, Institut de Geomatica (Spain)


Published in SPIE Proceedings Vol. 4173:
SAR Image Analysis, Modeling, and Techniques III
Francesco Posa; Luciano Guerriero, Editor(s)

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