Abstract | ||
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We present a new method for the denoising and fusion, which is dedicated to multiazimuth seismic data. We propose to combine low-level fusion and diffusion processes through the use of a unique model based on partial differential equations. The denoising process is driven by the seismic fault preserving diffusion equation. Meanwhile, relevant information (as seismic faults) is injected in the fuse... |
Year | DOI | Venue |
---|---|---|
2008 | 10.1109/TGRS.2008.916209 | IEEE Transactions on Geoscience and Remote Sensing |
Keywords | Field | DocType |
Azimuth,Pixel,Noise reduction,Diffusion processes,Partial differential equations,Acoustic reflection,Image fusion,Impedance,Geology | Noise reduction,Seismic to simulation,Data processing,Image fusion,Synthetic data,Artificial intelligence,Computer vision,Mathematical optimization,Algorithm,Sensor fusion,Partial differential equation,Diffusion equation,Mathematics | Journal |
Volume | Issue | ISSN |
46 | 5 | 0196-2892 |
Citations | PageRank | References |
5 | 0.44 | 18 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Sorin Pop | 1 | 27 | 3.02 |
Olivier Lavialle | 2 | 72 | 9.51 |
Marc Donias | 3 | 45 | 7.92 |
Romulus Terebes | 4 | 49 | 8.42 |
Monica Borda | 5 | 63 | 13.54 |
Sébastien Guillon | 6 | 33 | 6.27 |
Noomane Keskes | 7 | 6 | 0.80 |