Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

Volume Rendering Method for Spatial Seismic Data Based on GPU

Authors
Zhongxiang Duan, Guohe Li
Corresponding Author
Zhongxiang Duan
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.95How to use a DOI?
Keywords
ray casting algorithm, transfer function, GPU accelerating, seismic interpretation
Abstract
Volume rendering is one of the focuses in the research and application of computing visualization. On basis of the spatial data volume formally defined principles and methods are introduced on the division of volume data, computation of resampling and composition of image in the ray casting algorithm. By resampling and compositing with shader, the algorithm is successfully improved in performance by GPU. The application of the algorithm in seismic interpretation is implemented for visualization of spatial seismic data in gray and pseudo-color and a transfer function is designed to highlight the characteristics of stratums in seismic data field, overcoming limitations in the visualization of profiles, slices and surface rendering of seismic data.
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This is an open access article distributed under the CC BY-NC license.

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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/isccca.2013.95How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhongxiang Duan
AU  - Guohe Li
PY  - 2013/02
DA  - 2013/02
TI  - Volume Rendering Method for Spatial Seismic Data Based on GPU
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 386
EP  - 390
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.95
DO  - https://doi.org/10.2991/isccca.2013.95
ID  - Duan2013/02
ER  -