利用卫星云图反演云导风的新思路

本文首先借助于近年来发展起来的数值微分方法,从图像灰度中提取出图像梯度信息;然后利用正则化方法,实现了云导风反演;最后采用仿真和实际试验两种方法,对云图中有扰动时加入灰度梯度信息和未加入灰度梯度信息的风场反演结果进行比较.结果表明,加入图像灰度梯度信息所实施的新反演方法可有效减小图像干扰的影响,同时也大大提高了风矢量反演的精度,为卫星云图反演云导风探索一条新路子. 关键词： 云导风 数值微分 图像灰度梯度 正则化

A new Idea of cloud motion wind derived from satellite images

In this paper we firstly use a new method——numerical differentiation, which was developed in recent years to calculate gray gradient, and then realize the inverse cloud motion wind by regularization. At last, through simulation and practical experiments, we compared the wind inverse results between the algorithms with or without gray gradient information when the cloud images include perturbation. The experimental results show that the new algorithm with gradient information can reduce the influence of image disturbance effectively, and also increase the precision of cloud motion winds. We are in a position to find a new way to cloud motion wind inversion.