利用区域特征进行云与辐射雾分离检测

An Algorithm for Separating Radiation Fog from Cloud with Region Feature

提出了基于区域特征的云与辐射雾分离检测算法。选取MODIS数据作为实验数据,确定了算法的区域特征和区域特征指标,并对算法的稳定性和普适性进行了验证。实验结果表明,该算法具有较强的稳定性和普适性,但算法区域特征的选择仍需加强。

Separating fog from cloud is difficult because they have similarity in particle characteristics. Researches are done based on the differences of spectrum characteristics and texture characteristics between fog and cloud. But how to separate fog from cloud efficiently is still difficult. The universality of algorithms should be further to improve because a lot of researches are limited to a certain particular remote sensing images. An algorithm of separating radiation fog from cloud based on region feature is developed. The region features and indexes of region 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 a strong stability and universality except the determination of region features and indexes of region features.