作者: Maryam Rahnemoonfar , Beth Plale
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摘要: Synthetic aperture radar Interferometry (InSAR) is a significant 3D imaging technique to generate Digital Elevation Model (DEM). The phase difference between the complex SAR images displays an interference fringe pattern from which elevation of any point in imaged terrain can be determined. Phase unwrapping most critical step signal processing InSAR and especially DEM generation. In this paper, least squares weighted wavelet used overcomes problem slow convergence less-accurate Gauss-Seidel method. Here, by decomposing grid low-frequency high-frequency components, for component solved. applied ENVISAT ASAR Bam area. experimental results compared with Statistical-Cost Network Flow approach generated 1/25000 scale map area shows effectiveness proposed