Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1879
Title: A 2-D Continuos Wavelet Transform method for InSAR phase-maps Denoising
Authors: Escalante, Nivia
Villa Hernández, José de Jesús
De la Rosa Vargas, José Ismael
Olvera Olvera, Carlos Alberto
Alaniz Lumbreras, Daniel
Gutiérrez, Osvaldo
Issue Date: Jul-2013
Publisher: SPIE
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.
URI: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1879
https://doi.org/10.48779/jft8-k257
Other Identifiers: info:eu-repo/semantics/publishedVersion
Appears in Collections:*Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

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