Name
Abstract | ||
|---|---|---|
Over the past ten years, many phase unwrapping algorithms have been developed and formulated in a discrete setting. Here we propose a variational formulation to solve the problem. This continuous framework will allow us to impose some constraints on the smoothness of the solution and to implement them efficiently. This method is presented in the one dimensional case, and will serve as a basis for future developments in the real 2D case. Numerical schemes and results on a synthetic noisy wrapped signal are given. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICPR.2002.1048426 | Pattern Recognition, 2002. Proceedings. 16th International Conference |
Keywords | Field | DocType |
image registration,radar imaging,synthetic aperture radar,variational techniques,continuous framework,discrete setting,interferometric radar techniques,one dimensional phase unwrapping,phase unwrapping algorithms,real 2D case,smoothness,synthetic aperture radar,synthetic noisy wrapped signal,variational approach | Computer vision,Radar imaging,Synthetic aperture radar,Computer science,Inverse synthetic aperture radar,Artificial intelligence,Smoothness,Image registration | Conference |
Volume | ISSN | Citations |
2 | 1051-4651 | 1 |
PageRank | References | Authors |
0.41 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Caroline Lacombe | 1 | 1 | 0.41 |
| Pierre Kornprobst | 2 | 399 | 36.67 |
| Gilles Aubert | 3 | 1275 | 108.17 |
| Laure Blanc-Feraud | 4 | 59 | 16.71 |