针对山区范围内敌军雷达站的分布、洞库位置、交通补给线路等大目标的识别提出一种基于非局部先验的算法。首先在山区雾霾图像内采用对色彩的索引以求得聚类检测的雾霾线, 进而对雾霾线中像素的传输系数初始值进行估计, 最后, 采用最优化的算法对传输系数正则化处理, 得到无雾霾图像。

An algorithm based on non-local prior is proposed for the identification of large targets such as the distribution of enemy radar stations, the location of caverns and depots, and transportation supply line in mountainous areas.Firstly, the color index is used in the mountain haze image to obtain the haze line for cluster detection, and then the initial value of the transmission coefficient of pixels in the haze line is estimated.Finally, the transmission coefficient is regularized by the optimized algorithm, and finally the haze-free image is obtained.