Name
Title | ||
|---|---|---|
A principal component analysis based method for the Simulation of turbulence-degraded infrared image sequence |
Abstract | ||
|---|---|---|
We present an original method for the simulation of images degraded by atmospheric turbulence. The existing methods allow us to simulate only images that are temporally decorrelated from each other; in the isoplanatic case, or in weak anisoplanatism. Here, we propose a simulation for the case of strong anisoplanatism. Moreover the temporal aspect has been studied in order to build lip a sequence of degraded images, using principal component analysis (PCA). The images obtained clearly show the effects of anisoplanatism and temporal evolution of turbulence. |
Year | DOI | Venue |
|---|---|---|
1999 | 10.1007/BF02995542 | ANNALES DES TELECOMMUNICATIONS-ANNALS OF TELECOMMUNICATIONS |
Keywords | Field | DocType |
image processing,infrared atmospheric propagation,atmospheric turbulence,principal component analysis,image sequence,simulation,time variation | Infrared image,Wave propagation,Turbulence,Image processing,Optics,Infrared,Image sequence,Principal component analysis,Mathematics | Journal |
Volume | Issue | ISSN |
54 | 5-6 | 0003-4347 |
Citations | PageRank | References |
1 | 0.48 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christine Bondeau | 1 | 1 | 0.48 |
| El-Bay Bourennane | 2 | 89 | 20.58 |
| Michel Paindavoine | 3 | 115 | 21.70 |