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An efficient system for creating synthetic InSAR images from simulations

机译:通过模拟创建合成InSAR图像的有效系统

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In this work we visualize tsunami and earthquake simulation results with graphics hardware acceleration. The rapid improvement in the computational power of graphics hardware and its programmability has made general computation on Graphics Processing Units (GPUs) very compelling. We generate Synthetic InSAR images using GPUs. Interference phenomena have formed the underlying theory for Interferometric Synthetic Aperture Radar (InSAR) in unveiling dynamical Earth movements. In our approach light path differences are defined by the surface values to be visualized. These path differences then modulate the lighting intensity to generate the interference patterns. We can interactively visualize surface deformation patterns by leveraging the computational power of GPUs. Our visualization method is applied to simulations of rupture fault displacements during the tsunamogenic earthquake events, which are vital to understanding the subsequent wave propagation. We also integrate the visualization results into Google Earth virtual globe to provide the geological context of the visualized regions.
机译:在这项工作中,我们使用图形硬件加速来可视化海啸和地震模拟结果。图形硬件的计算能力及其可编程性的快速提高使图形处理单元(GPU)上的常规计算非常引人注目。我们使用GPU生成合成InSAR图像。干扰现象已成为揭示动态地球运动的干涉式合成孔径雷达(InSAR)的基础理论。在我们的方法中,光程差由要可视化的表面值定义。这些路径差异然后调制照明强度以生成干涉图样。通过利用GPU的计算能力,我们可以交互式地可视化表面变形图案。我们的可视化方法被应用于模拟海啸地震事件中的断裂断层位移,这对于理解随后的波传播至关重要。我们还将可视化结果集成到Google Earth虚拟地球仪中,以提供可视化区域的地质背景。

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