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A Fusion Visualization Method for Disaster Information Based on Self-Explanatory Symbols and Photorealistic Scene Cooperation

机译:基于自我解释符号和黑色识别场景合作的灾害信息融合可视化方法

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摘要

Scientific and appropriate visualizations increase the effectiveness and readability of disaster information. However, existing fusion visualization methods for disaster scenes have some deficiencies, such as the low efficiency of scene visualization and difficulties with disaster information recognition and sharing. In this paper, a fusion visualization method for disaster information, based on self-explanatory symbols and photorealistic scene cooperation, was proposed. The self-explanatory symbol and photorealistic scene cooperation method, the construction of spatial semantic rules, and fusion visualization with spatial semantic constraints were discussed in detail. Finally, a debris flow disaster was selected for experimental analysis. The experimental results show that the proposed method can effectively realize the fusion visualization of disaster information, effectively express disaster information, maintain high-efficiency visualization, and provide decision-making information support to users involved in the disaster process.
机译:科学和适当的可视化提高了灾害信息的有效性和可读性。然而,灾难场景的现有融合可视化方法具有一些缺陷,例如场景可视化效率和灾难信息识别和共享的困难。在本文中,提出了一种基于自我解释符号和黑色静观现场合作的灾害信息的融合可视化方法。详细讨论了自我解释的符号和光电素质场景协作方法,空间语义规则的构造和空间语义约束的融合可视化。最后,选择碎片流动灾难进行实验分析。实验结果表明,该方法可以有效地实现灾害信息的融合可视化,有效地表达灾害信息,维持高效可视化,并为涉及灾难过程的用户提供决策信息支持。

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