Title :
Multiscale Bayesian terrain height estimation from SAR interferometry
Author :
Datcu, M. ; Palubinskas, G.
Author_Institution :
Remote Sensing Data Center, Aerosp. Res. Establ., Oberpfaffenhofen, Germany
Abstract :
The phase unwrapping is the key step in recovering the terrain elevations from Interferometric SAR (InSAR) data. The problem is to find an estimate of the phase values known the wrapped noisy phase observations. In this article the authors introduce a new Bayesian model based solution for the phase unwrapping using a multiscale stochastic process as a prior for the estimation of the terrain height
Keywords :
geophysical signal processing; geophysical techniques; radar imaging; remote sensing by radar; spaceborne radar; synthetic aperture radar; topography (Earth); Bayes method; Bayesian model; InSAR; SAR interferometry; geophysical measurement technique; interferometric SAR; land surface topography; multiscale Bayesian terrain height estimation; multiscale stochastic process; phase unwrapping; radar remote sensing; synthetic aperture radar; terrain elevation; terrain mapping; wrapped noisy phase; Bayesian methods; Computational efficiency; Design for disassembly; Fractals; Least squares methods; Phase estimation; Phase noise; Stochastic processes; Synthetic aperture radar interferometry; Wrapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4403-0
DOI :
10.1109/IGARSS.1998.702807
