A 2D continuous wavelet transform method for InSAR phase-maps denoising

Nivia Escalante; Jesús Villa; Ismael De la Rosa; Carlos Olvera-Olvera; Daniel Alaniz-Lumbreras; Osvaldo Gutiérrez-Mata

doi:10.1117/12.2021817

18 November 2013 A 2D continuous wavelet transform method for InSAR phase-maps denoising

Nivia Escalante, Jesús Villa, Ismael De la Rosa, Carlos Olvera-Olvera, Daniel Alaniz-Lumbreras, Osvaldo Gutiérrez-Mata

Proceedings Volume 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications; 8785AR (2013) https://doi.org/10.1117/12.2021817
Event: 8th Ibero American Optics Meeting/11th Latin American Meeting on Optics, Lasers, and Applications, 2013, Porto, Portugal

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.

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Nivia Escalante, Jesús Villa, Ismael De la Rosa, Carlos Olvera-Olvera, Daniel Alaniz-Lumbreras, and Osvaldo Gutiérrez-Mata "A 2D continuous wavelet transform method for InSAR phase-maps denoising", Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 8785AR (18 November 2013); https://doi.org/10.1117/12.2021817

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KEYWORDS

Interferometric synthetic aperture radar

Continuous wavelet transforms

Denoising

Wavelets

Image filtering

Interferometry

Anisotropy

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