基于透射率模型和极值先验的杂散光消除方法

针对杂散光对空间光学系统的影响,结合实际研究中光机结构无法更改,且无法精确估计系统点扩散函数的情况,提出了一种基于透射率模型和遥感图像极值先验知识的消除遥感图像杂散光的新方法。该方法能够有效地消除杂散光对遥感图像的影响,提高图像对比度,使图像细节变清晰。实验中使用多个图像清晰度评价函数对图像的清晰度进行了计算。实验结果表明,采用此方法使图像清晰度提高了15%以上。

An algorithm for stray light elimination based on transmittance model and prior knowledge of extreme value

Aiming at the influence of stray light on space optical system, and considering the facts that the optical mechanical structure cannot be changed and it is hard to estimate the point spread function accurately in the research, this paper proposed an algorithm for stray light elimination based on the transmittance model and the prior knowledge of extreme value in remote sensing images. This method can effectively eliminate the influence of stray light on the remote sensing images, improve the contrast of the images and make the image details more clearly. We use several image clarity evaluation functions to calculate the image clarity. The experimental results show that the algorithm can increase the image clarity by more than 15%.