大范围云导风的直接可视化方法  

Direct vectors visualization method for large scale cloud-motion wind

作　　者：张军[1,2] 朱彬 Zhang Jun;Zhu Bin(School of Digital Media,Jiangnan University,Wuxi Jiangsu 214122,China;Jiangsu Key Laboratory of Media Design&Software Technology,Jiangnan University,Wuxi Jiangsu 214122,China)

机构地区：[1]江南大学数字媒体学院,江苏无锡214122 [2]江南大学江苏省媒体设计与软件技术重点实验室,江苏无锡214122

出　　处：《计算机应用研究》2021年第3期908-913,共6页Application Research of Computers

基　　金：国家科技支撑计划课题资助项目(2015BAH54F01);江苏省自然科学基金资助项目(BK20141113,BK20130158)。

摘　　要：针对传统大范围云导风生成及显示过程中存在较大计算冗余的问题,提出一种快速风场可视化算法,可使用卫星云图序列直接生成便于人眼观察的大范围云导风态势展示视频。该算法首先使用稀疏像素块匹配分析得到相邻帧之间的运动信息,再使用匹配结果形成图像形变网格,最后使用该网格对噪声纹理图像进行形变和颜色混合叠加操作,从而输出风场运动轨迹的动态视频。由于无须复杂的光流计算和额外流场可视化后处理等步骤,该算法在程序实现时更加便捷,对计算硬件依赖性较小。实验结果显示,这种直接可视化算法可以生成易于辨识的、时间一致性强的云导风动态可视化视频,能应对红外、可见光和水汽等各种波段的卫星图像数据,对云层无规则消散、生成等干扰具有较高鲁棒性。The traditional visualization pipeline of cloud-motion wind(CMW)has considerable computational redundancy.This paper proposed a fast wind visualization pipeline,which could directly generate a vivid large-scale wind situation video for human eyes from any raw satellite image sequence.Guiding by sparse pixel block-matching for cloud motion estimation in satellite image sequence,the proposed algorithm warped and blended multi-frame noised textures by a warping mesh derived from the matching results.Without any complicated optical flow calculation and additional flow visualization post-processing,this compact visualization pipeline was more convenient in programming and less dependent on computing hardware.Experimental results show that the proposed straightforward algorithm can generate an easily identifiable and time-consistent dynamic visua-lization video of CMW directly from infrared,visible or water vapor satellite data.It is also more robust to the irregular dissipation and generation of cloud.

关 键 词：大范围云导风 流场可视化 网格变形 图像混合 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]