云图数据驱动的三维云景可视化

云图是气象应用和研究中最常获取的资源，包含了丰富的气象信息，在天气预测中起到了关键的作用。将云图数据作为驱动，利用灰度共生矩阵和分形理论进行纹理特征提取，划分出基本云型，得到云景的分布特征。将这个粗糙分布，映射到地球上，得到基本的大气参数估计，在此基础上利用CML的方法生成三维云场并实现可视化。实现了对风云二号卫星云图的自动化分析，以及数字地球上的三维云景可视化。

Visualization of 3D Clouds Driven by Cloud-map Data

Cloud maps are the most frequently acquired sources nowadays because they contain very useful meteorological information. So the cloud maps are used as input to drive the simulation of 3D clouds. Using gray level co-occurrence matrix and fractal theory, the texture feature of cloud maps are extracted, basic cloud types are classified, and so the distribution feature of cloud scene is retrieved. The coarse distribution is mapped to the surface of the earth to produce basic parameters of atmosphere. With these basic parameters of atmosphere, CML method is used to generate 3D cloud density distribution, then 3D clouds are rendered onto the spherical surface cover the earth. The auto analysis of Fengyun2 cloud maps and visualization of 3D cloud scene on digital earth are realized.