Paper
20 November 1998 Multiscale Bayesian height estimation from InSAR using a fractal prior
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Abstract
The phase unwrapping is the key step in recovering the terrain elevations from Interferometric SAR data. Phase unwrapping deals with the problem of estimating the absolute phase from observations of its noisy wrapped values. It is an ill-posed inverse problem. We propose a Bayesian model fitting solution using a fractal prior in the form of a multiscale stochastic process.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mihai P. Datcu and Gintautas Palubinskas "Multiscale Bayesian height estimation from InSAR using a fractal prior", Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); https://doi.org/10.1117/12.331347
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Fractal analysis

Data modeling

Interferometric synthetic aperture radar

Stochastic processes

Statistical modeling

Interferometry

Motion models

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