TY - JOUR
T1 - Visualization of high dynamic range data in geosciences
AU - Yuan, Xiaoru
AU - Liu, Yingchun
AU - Chen, Baoquan
AU - Yuen, David A
AU - Pergler, Tomas
PY - 2007/8/15
Y1 - 2007/8/15
N2 - High dynamic range data, the magnitudes of which span a wide range of scales, are pervasive in the geosciences. Simulations or measurements of many important geophysical processes, such as earthquakes, mantle temperature fluctuations, generate various high dynamic range data sets, in the form of volume or surface. Effective visualization of such datasets is vital for understanding such complex geophysical phenomena and poses a new challenge for both geoscientists and visualization scientists. We describe the general aspects of high dynamic range datasets in the geophysical sciences and provide three case studies of visualizing such data using the techniques we have developed recently. They include: (1) visualizing the Earth's mantle structures using high dynamic volume volume visualization (HDR VolVis); (2) visualizing surface ruptures during earth quakes using an interference-based method; (3) visualizing tsunami waves again using interference-based method. To improve the performance of visualizing these datasets, which are usually large in size, modern commodity graphics hardware are leveraged to provide simultaneously efficient simulation and visualization.
AB - High dynamic range data, the magnitudes of which span a wide range of scales, are pervasive in the geosciences. Simulations or measurements of many important geophysical processes, such as earthquakes, mantle temperature fluctuations, generate various high dynamic range data sets, in the form of volume or surface. Effective visualization of such datasets is vital for understanding such complex geophysical phenomena and poses a new challenge for both geoscientists and visualization scientists. We describe the general aspects of high dynamic range datasets in the geophysical sciences and provide three case studies of visualizing such data using the techniques we have developed recently. They include: (1) visualizing the Earth's mantle structures using high dynamic volume volume visualization (HDR VolVis); (2) visualizing surface ruptures during earth quakes using an interference-based method; (3) visualizing tsunami waves again using interference-based method. To improve the performance of visualizing these datasets, which are usually large in size, modern commodity graphics hardware are leveraged to provide simultaneously efficient simulation and visualization.
KW - Earthquake
KW - High dynamic range
KW - Surface visualization
KW - Tsunami
KW - Visualization
KW - Volume visualization
UR - http://www.scopus.com/inward/record.url?scp=34547922769&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=34547922769&partnerID=8YFLogxK
U2 - 10.1016/j.pepi.2007.03.008
DO - 10.1016/j.pepi.2007.03.008
M3 - Article
AN - SCOPUS:34547922769
VL - 163
SP - 312
EP - 320
JO - Physics of the Earth and Planetary Interiors
JF - Physics of the Earth and Planetary Interiors
SN - 0031-9201
IS - 1-4
ER -