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Proceedings Paper

A 2D continuous wavelet transform method for InSAR phase-maps denoising
Author(s): Nivia Escalante; Jesús Villa; Ismael De la Rosa; Carlos Olvera-Olvera; Daniel Alaniz-Lumbreras; Osvaldo Gutiérrez-Mata
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Paper Abstract

Analysis of Interferometric Synthetic Aperture Radar (InSAR) phase–maps with large wide band is still a challenging problem that requires the development of robust methods. This paper presents a 2–D Continuous Wavelet Transform method for denoising InSAR phase-maps. Owing to its high directionality, sensitivity and anisotropy, multiresolution analysis with 2–D Continuous Wavelet Transform (2–D CWT) is potentially a useful tool to construct appropriate filtering algorithms for detecting and identifying images with specific features, transient information content, or other properties. The 2-D Gabor wavelets naturally model the phase fringes, which means that can properly reconstruct the image. We describe the theoretical basis of the proposed technique and some experimental results with real InSAR phase–maps. As can be verified the proposal is robust and effective.

Paper Details

Date Published: 18 November 2013
PDF: 7 pages
Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 8785AR (18 November 2013); doi: 10.1117/12.2021817
Show Author Affiliations
Nivia Escalante, Univ. Autónoma de Zacatecas (Mexico)
Jesús Villa, Univ. Autónoma de Zacatecas (Mexico)
Ismael De la Rosa, Univ. Autónoma de Zacatecas (Mexico)
Carlos Olvera-Olvera, Univ. Autónoma de Zacatecas (Mexico)
Daniel Alaniz-Lumbreras, Univ. Autónoma de Zacatecas (Mexico)
Osvaldo Gutiérrez-Mata, Univ. Autónoma de Zacatecas (Mexico)

Published in SPIE Proceedings Vol. 8785:
8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications
Manuel Filipe P. C. Martins Costa, Editor(s)

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