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AN VISUALIZATION MODEL OF GLOBAL IMAGES BASED ON QTM

机译:基于QTM的全局影像可视化模型。

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Constructing interactive visualization model of global image data is one of the hot research topics in Geo-spatial information sciences. Conventionally, global image data is used as texture in visualization models. Those methods aim to get excellent visualization effect and more attention is paid on improving the speed of image visualization. However, interactive operations, which are the bridge between user and visualization systems, are neglected and this leads to difficulty of spatial analysis in visualization circumstance. To overcome those deficiencies, a new interactive visualization model of global image data based on QTM (Quaternary Triangular Mesh) is presented in this paper. Our approaches star with QTM partition on the spherical surface and visibility culling for improving the speed of image data visualization is described. Then, interactive operations and the implement details of this model are presented. In the end, the experiment is made to test the algorithms and methods approached in this paper by using of Wsiearth. Tif data with 256 gray levels in ArcGIS. The results illustrate that:1) the methods and algorithms approached in this paper are correct and effective; 2) the QTM number and calculating amount for finding QTM in visible frustum are nearly invariable in visualization with the technology of visibility culling.
机译:构造全球图像数据的交互式可视化模型是地理空间信息科学的热点研究课题之一。按照惯例,全局图像数据在可视化模型中用作纹理。这些方法旨在获得优异的可视化效果,并在提高图像可视化速度上给予了更多的关注。然而,作为用户和可视化系统之间桥梁的交互操作被忽略了,这导致了在可视化环境中进行空间分析的困难。为了克服这些不足,本文提出了一种基于QTM(第四三角网格)的全局图像数据交互式可视化模型。描述了我们的方法,方法是在球面上进行QTM分区,并通过可视性剔除来提高图像数据可视化的速度。然后,介绍了该模型的交互式操作和实现细节。最后,进行了实验,以测试本文采用Wsiearth的算法和方法。在ArcGIS中具有256级灰度的Tif数据。结果表明:1)本文所采用的方法和算法是正确有效的。 2)通过可见性剔除技术,在可视视锥中找到QTM的QTM数量和计算量几乎不变。

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