针对如何消除和减轻载体不规则角振动带来的成像质量退化,提出了一种全新的在轨遥感图像抖动模糊复原方法.该方法根据星敏感器或者其他载荷拍摄的星图或星空背景自适应估计载体的振动点扩展函数(PSF),然后将该点扩展函数映射到遥感图像,最后应用Richardson-Lucy(RL)复原方法消除和减轻抖动模糊,以提高成像的分辨率和峰值信噪比(PSNR).仿真实验表明:该方法避免了传统复原方法PSF难以估计的问题,有效提高了遥感图像复原的精度和鲁棒性.
It is a general problem to eliminate and reduce imaging degradation caused by carrier irregular angle vibration in space remote sensing imaging.A method was proposed to recover vibration blur of on-orbit remote sensing images.The method estimated the point spread function(PSF)of carrier vibration adaptively based on star maps or background shot by star sensors or other loads,and then mapped the PSF to the remote sensing image,and finally Richardson-Lucy(RL)restoration algorithm was used to eliminate and reduce vibration blur to improve resolution and peak signal to noise ratio(PSNR)of images.Experimental results show that compared with traditional methods,the proposed method avoids the difficulties to estimate PSF,and effectively improves the accuracy and robustness of remote sensing image restoration.