摘要
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.
出处
《华中科技大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2014年第3期28-32,共5页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
国家自然科学基金资助项目(61074156
61104191)
华中科技大学自主创新研究基金资助项目
航天支撑技术基金资助项目
关键词
遥感
振动
图像复原
点扩展函数
星图
RL复原
remote sensing
vibrations
image restoration
point spread function
star map
Richard-son-Lucy restoration