Abstract. Mountain disaster scenes usually contains various geographical entities, which are dynamic and complicated. Therefore, the construction of mountain disaster 3D scenes has great significance for disaster simulation, analysis and prediction. 3D visualization and interactive analysis of complicated mountain disaster scenes should accommodate users who have access to various terminals in disaster emergency response. However, most of the existing 3D visualization methods can only deal with 3D scene data organization and scheduling for single terminal or limited kinds of geographical entities. Due to performance constraints, it’s difficult for Mobile devices to support efficient visualization of complicated mountain disaster 3D scenes, either. To address these issues, we research the key technologies for efficient visualization of mountain disasters on diverse terminals. We utilize the B/S architecture and research its impact on rendering frame rate and the relationship of terminal characteristics and parameters through analysis of terminal characteristics and parameters, e.g. hardware performance, screen size and resolution, network environment, and rendering frame rate requirements. Then we analyze the diverse organization of mountain disaster scene data and explore the methods of constructing efficient spatial index by taking into account the characteristics of diverse terminals. An adaptive scene analysis method is subsequently designed to select the optimal model. Finally, based on the diverse organization of various data in the scene, a corresponding dynamic scheduling method is proposed to realize the adaptive visualization of complicated mountain disaster 3D scenes for diverse terminals.
[1]
Qing Zhu,et al.
Construction and Optimization of Three-Dimensional Disaster Scenes within Mobile Virtual Reality
,
2018,
ISPRS Int. J. Geo Inf..
[2]
Yi Li,et al.
A Virtual Geographic Environment for Debris Flow Risk Analysis in Residential Areas
,
2017,
ISPRS Int. J. Geo Inf..
[3]
Qing Zhu,et al.
Optimization of simulation and visualization analysis of dam-failure flood disaster for diverse computing systems
,
2017,
Int. J. Geogr. Inf. Sci..
[4]
G. C. Beroza,et al.
Strong Ground Motion Prediction Using Virtual Earthquakes
,
2014,
Science.
[5]
Hui Lin,et al.
Developing dynamic virtual geographic environments (VGEs) for geographic research
,
2015,
Environmental Earth Sciences.
[6]
Cui Pen.
Progress and prospects in research on mountain hazards in China
,
2014
.
[7]
Hui Lin,et al.
Virtual Geographic Environments (VGEs): A New Generation of Geographic Analysis Tool
,
2013
.
[8]
Lin Hui,et al.
On virtual geographic environments for geographic knowledge representation and sharing
,
2016
.
[9]
Sungho Kim,et al.
Slope Based Intelligent 3D Disaster Simulation Using Physics Engine
,
2016,
Wirel. Pers. Commun..