摘要
卫星云图是目前最重要的气象信息来源之一。实现卫星云图的模拟对于灾害预防、评估等工作具有十分重要的意义。首先分析了WorldWind开源平台的系统框架。针对于彩色卫星云图,改进了一种基于图像色彩和灰度值的算法,能够较好地分割提取出云层区域。进而在开源平台WorldWind上采用多层纹理映射的方式实现了卫星云图的模拟。
Satellite cloud much significance for disaster framework of the open-source image is one of the most important sources of the weather information, and it is of forecasting and evaluating to do the research of satellite cloud image simulation. The platform WorldWind was discussed. For the satellite images, the cloud regions were analyzed and segmented by an improved algorithm based on the color value and gray scale. The muhilayer texture mapping algorithm is utilized on satellite cloud image simulation, and the procession is integrated to the open-source platform WorldWind.
出处
《科学技术与工程》
2011年第22期5328-5330,5339,共4页
Science Technology and Engineering
基金
图家自然科学基金(60975016)资助
关键词
计算机应用
卫星云图模拟
云区提取
多层纹理映射
computer application texture mapping satellite cloud image simulation clouds segmentation muhilayer
