Name
Abstract | ||
|---|---|---|
Phase unwrapping in 2-dimensional topologies is an important problem that has several applications in radar and satellite imaging. The s um product algorithm (belief propagation) gives excellent results for the phase unwrapping problem. In this work, we present a gradient smoothing technique that uses higher order surface models to produce very smooth surfaces and report an improvement in the solution obtained. In a recent important work, Yedidia et. al have showed the theoretical connections between belief propagation algorithms and free energy in statistical physics. Based on this, we present a model that uses the Kikuchi technique to compute better posterior marginals than those produced by sum product algorithm. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/IGARSS.2002.1026238 | IGARSS |
Keywords | Field | DocType |
geophysical techniques,radar theory,remote sensing by radar,synthetic aperture radar,terrain mapping,2-dimensional topology,kikuchi free energy,sar,belief propagation,geophysical measurement technique,gradient smoothing,higher order surface model,land surface,minimization,phase unwrapping,radar remote sensing,statistical physics,sum product algorithm,2 dimensional,least squares approximation,higher order,radar imaging,free energy,topology | Terrain mapping,Radar,Computer vision,Computer science,Synthetic aperture radar,Remote sensing,Network topology,Sum product algorithm,Smoothing,Satellite imaging,Artificial intelligence,Belief propagation | Conference |
Volume | Citations | PageRank |
3 | 0 | 0.34 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kannan Achan | 1 | 425 | 35.52 |
| Brendan J. Frey | 2 | 3637 | 404.51 |
| Ralf Koettery | 3 | 5019 | 456.62 |
| D. C. ,. Jr. Munson | 4 | 162 | 126.26 |