Paper
21 December 2000 WLMS-RG combined unwrapping method
Oscar Mora, Marc Bara, Antoni Broquetas
Author Affiliations +
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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Oscar Mora, Marc Bara, and Antoni Broquetas "WLMS-RG combined unwrapping method", Proc. SPIE 4173, SAR Image Analysis, Modeling, and Techniques III, (21 December 2000); https://doi.org/10.1117/12.410653
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KEYWORDS
Roentgenium

Interferometry

Synthetic aperture radar

Phase interferometry

Binary data

Buildings

Data processing

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