摘要
提出了一种基于刃边法PSF估计和保边缘正则化方法的遥感影像复原方法,利用刃边法,建立正则化复原模型,以及最速下降法进行复原,实现了优于传统的维纳滤波、约束最小平方等方法的复原效果。
We present a remote sensing restoration method based on knife-edge PSF estimation and edge-preserving regularization model.Based on typical image area,the knife-edge method is used to obtain edge spread function and point spread function.The Huber-Markov prior model is employed to establish the recovery model.The steepest descent method is used to solve the restored image.Experimental results show that this method is superior to traditional recovering methods.
出处
《测绘信息与工程》
2010年第6期7-9,共3页
Journal of Geomatics
基金
国家重点基础研究发展规划资助项目(2009CB723905)
国家自然科学基金资助项目(40801182
40971220)
模式识别国家重点实验室开放课题基金资助项目(09-7-1)
虚拟地理环境教育部重点实验室开放基金资助项目
