DocumentCode :
3348903
Title :
Multibaseline gradient ambiguity resolution to support Minimum Cost Flow Phase Unwrapping
Author :
Lachaise, Marie ; Bamler, Richard ; Gonzalez, Fernando Rodriguez
Author_Institution :
Remote Sensing Technol. Inst., German Aerosp. Center (DLR), Wessling, Germany
fYear :
2010
fDate :
25-30 July 2010
Firstpage :
4411
Lastpage :
4414
Abstract :
The TanDEM-X Mission has as primary objective to generate a high resolution global Digital Elevation Model. This paper proposes a new method for multibaseline Phase Unwrapping which is the critical point of this generation. We propose to combine both Minimum Cost Flow (MCF) and Maximum a Posteriori (MAP) estimation. The latter is used to solve phase gradient ambiguities. The problem is posed as an energy minimization one and solved using Belief Propagation (BP) which is an iterative process. Nevertheless, although very good results are obtained on loopy graphs, it is not guaranteed to converge. Thus, phase unwrapping of the most accurate interferogram is finally performed with the MCF algorithm and takes as input the unwrapped gradients.
Keywords :
artificial satellites; belief networks; digital elevation models; estimation theory; gradient methods; minimisation; synthetic aperture radar; MAP estimation; MCF algorithm; TanDEM-X mission; belief propagation; energy minimization; high resolution global digital elevation model; iterative process; loopy graphs; maximum a posteriori estimation; minimum cost flow phase unwrapping; multibaseline gradient ambiguity resolution; multibaseline phase unwrapping; phase gradient ambiguity; unwrapped gradients; Algorithm design and analysis; Atmospheric modeling; Belief propagation; Joints; Maximum likelihood estimation; Minimization; Belief Propagation; Minimum Cost Flow; TanDEM-X; multibaseline phase unwrapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
Conference_Location :
Honolulu, HI
ISSN :
2153-6996
Print_ISBN :
978-1-4244-9565-8
Electronic_ISBN :
2153-6996
Type :
conf
DOI :
10.1109/IGARSS.2010.5652361
Filename :
5652361
Link To Document :
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