Jun Liu, Xing Wang, 2Min Chen, Shuguang Liu, Xiran Zhou, Zhenfeng Shao, and Ping Liu
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400122, China
State key Laboratory for Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
China Laboratory for High Performance Geo-computation,Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, 518055, China
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, 430079, Chin
Abstract A novel method for removing thin clouds from single satellite image is presented based on a cloud physical model. Given the unevenness of clouds, the cloud background is first estimated in the frequency domain and an adjustment function is used to suppress the areas with greater gray values and enhance the dark objects. An image, mainly influenced by transmission, is obtained by subtracting the cloud background from the original cloudy image. The final image with proper color and contrast is obtained by decreasing the effect of transmission using the proposed max– min radiation correction approach and an adaptive brightness factor. The results indicate that the proposed method can more effectively remove thin clouds, improve contrast, restore color information, and retain detailed information compared with the commonly used image enhancement and haze removal methods.
