Title
A PDE-Based Approach to Three-Dimensional Seismic Data Fusion
Abstract
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 Pop1273.02
Olivier Lavialle2729.51
Marc Donias3457.92
Romulus Terebes4498.42
Monica Borda56313.54
Sébastien Guillon6336.27
Noomane Keskes760.80