基于气象卫星数据的三维云景可视化方法

3D Cloud Visualization Based on Meteorological Satellite Data

云景可视化是计算机图形学和虚拟现实领域的研究热点之一。目前基于气象卫星数据的三维云景可视化方法大部分是基于二维卫星云图,无法真实反映云的三维信息。提出一种基于云顶温度/云高/云光学厚度卫星产品数据的三维云景直接可视化方法。该方法将整个空间视为由不同密度粒子构成的区域,首先得到粒子的分布函数,再由分布函数得到粒子的半径、密度等属性信息,完成云粒子模型构建;然后利用大气物理学相关知识计算粒子的光学参数;最后通过求解光在云粒子中的传播方程来得到云的三维可视化效果。实验结果表明该方法可以产生具有较高真实感的三维云景。

3D cloud visualization is widely used in computer graphics and virtual reality. Currently, the method for 3D cloud visualization focuses on 2D cloud image based on meteorological satellite data. However, this kind of methods cannot show the 3D information of clouds. Borrowing the idea of particle system, an algorithm for generation 3D cloud was proposed based on the cloud top temperature/cloud top height/cloud optical thickness data of meteorological satellite. This method divided the whole space as the region composed of particles of different densities. Firstly, the distribution function of particles was obtained, and then radius, densities and other attribute information were got by the distribution function, which completed to build the model of particles. Secondly, optical parameters be determined by the knowledge of alanospheric physics. Finally, 3D cloud scenes could be obtained by solving the equation of light propagation. Experimental results demonstrate that this algorithm cloud generates realistic 3D cloud scenes.