关键词: 遥感图像去雾, 加权四叉树, 饱和度运算, 递归双边滤波器

Abstract: In order to solve blurred, color deviation, terrain information loss and other serious problems of the remote sensing image captured by the sensor under the conditions of fog days, a remote sensing image defog algorithm（referred to as RSIDA algorithm） is proposed based on saturation operation and dark channel theory. RSIDA algorithm firstly uses weighted quad tree method towards to minimum channel graph to rapidly search for the global ambient light value, and the atmospheric transmittance is estimated by saturation operation in HSV color space, then a threshold is set to adjust the atmospheric transmittance and the recursive bilateral filter is used to optimize it. Finally, fog degraded remote sensing image is recovered based on the physical model. Through the contrast experiments and quantitative analysis, the results show that RSIDA algorithm can recover definition and color of the fog degraded  remote sensing image, improve the quality of the remote sensing image, and its operation efficiency can meet the real-time requirements.

Key words: remote sensing image defog, weighted quad tree, saturation arithmetic, recursive bilateral filter