Por favor, use este identificador para citar o enlazar este ítem: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1879
Título : A 2-D Continuos Wavelet Transform method for InSAR phase-maps Denoising
Autor : 20608
31249
49390
Fecha de publicación : jul-2013
Editorial : SPIE
Resumen : 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
Otros identificadores : info:eu-repo/semantics/publishedVersion
Aparece en las colecciones: *Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

Ficheros en este ítem:
Fichero Descripción Tamaño Formato  
53_Escalante_DelaRosa RIAO SPIE P1 2013.pdfEscalante_DelaRosa RIAO SPIE P1 2013350,48 kBAdobe PDFVisualizar/Abrir


Este ítem está sujeto a una licencia Creative Commons Licencia Creative Commons Creative Commons