基于云雾边缘高程特性的云雾分离检测算法研究

The Function of DEM in Separating Fog from Cloud Based on Remote Sensing Image

云雾本身具有的某种相似性造成它们分离检测的困难。国内外研究工作者基于云雾的色调特性差异和纹理特性差异进行了一定程度的云雾分离检测研究,但仍未能很好地解决该问题。在分析气象专家判别云雾属性所应用的图像的6个基本特征的基础上,本文首次基于云雾边缘高程特性差异进行云雾分离检测研究,并选取MODIS传感器数据作为实验数据。实验结果表明:该算法具有较强的稳定性和普适性,但算法中的特征检测指标及特征检测指标的适用性需进一步改进。

It is difficult to separate the fog from cloud because they have similarity in particle characteristics.Researches were done based on the difference of spectrum and texture characteristics between fog and cloud,but it is still a difficult question.An algorithm of separating radiation fog from cloud based on edge-DEM of cloud and fog is developed.The indexes of DEM Features are determined based on MODIS data,the stability and universality of algorithm are verified based on validation data.According to the results,this algorithm has strong stability and universality except the determination of DEM Features and indexes of DEM Features.