Distributed 3D Information Visualization – Towards Integration of the Dynamic 3D Graphics and Web Services

Vucinic, Dean; Deen, Danny; Oanta, Emil; Batarilo, Zvonimir; Lacor, Christian

doi:10.1007/978-3-540-75274-5_10

Cited by 1 publication

(1 citation statement)

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“…In 2008, Kellogg et al set up an interactive three-dimensional visualization of an earthquake simulation system that provides a new way to think about visualising seismic studies [6]. In 2007, Vucinic et al developed a prototype three-dimensional visualization system based on graphics-based middleware; this system can be applied to management and decision support for emergency events such as earthquakes [7].…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional visualization simulation assessment system based on multi-source data fusion for the Wenchuan earthquake

Fan

Tan

et al. 2009

J. Appl. Remote Sens

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We have developed a visual three-dimensional simulation and assessment system of the Wenchuan earthquake zone using the Digital Earth concept and highly efficient spatial information visualization technology. Our goal is to provide a foundation for earthquake disaster relief and reconstruction. A number of major collapses, landslides, mud-rock flows and other geological disasters are analysed in the system, and the system can be used to monitor and analyse earthquake relief, rescue and insurance to provide first-hand source material for disaster situation assessment. Multi-sensor, multi-temporal, multi-resolution remote sensing data and multi-scale DEM data are integrated into this system, and produce a sequence of comprehensive resolution datasets. We present management methods for a dynamic multi-resolution terrain model and multi-level scene. These methods are based on the model division, delaminating algorithm, and make use of high-speed buffering mechanisms to achieve a multi-level large-scale real-time rendering of scenes in the disaster areas, which also effectively reduces the rendering delay, and achieves smooth, seamless roaming at different model levels.

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Section: Introductionmentioning

confidence: 99%