摘要
由于点扩展函数(PointSpreadFunction,PSF)模型与实际模糊核不匹配,现有遥感图像的复原效果较差。针对该问题,提出一种基于洛伦兹拟合点扩展函数的图像复原方法,对估计的遥感图像PSF进行充分拟合以提高复原精度。首先,考虑现有模型与实际退化过程的匹配误差,将模糊核建模为基本二维模式的线性组合,采用洛伦兹函数作为基函数对实际退化所造成的模糊效应进行建模。然后,选取具有刃边特征的地物目标估计遥感成像系统的退化函数,同时采用所建立的数学模型对估计的PSF进行拟合校正,将拟合校正后的PSF应用于遥感图像恢复,减少了成像系统退化模糊的干扰。最后,利用校正后的PSF,结合Richardson-Lucy算法复原原理,提出一种遥感图像的复原方法。实验结果表明,所提方法相比于现有基于其他PSF模型的遥感图像复原方法,图像复原效果得到显著提高。
Aiming at the problem that the existing remote sensing image restoration effect is poor due to the mismatch between the point spread function(PSF)model and the actual blur kernel,an image restoration method based on a Lorentz fitted PSF is proposed to fully fit the estimated PSF of a remote sensing image and to improve the restoration accuracy.Firstly,considering the matching error between the existing model and the actual degradation process,the blurred kernel is modeled as a linear combination of basic two-dimensional models,and a Lorentz function is used as the basis function to model the blurred effect caused by actual degradation.Then,while selecting the ground object with edge characteristics to estimate the degradation function of the remote sensing imaging system,the established mathematical model is used for fitting correction of the estimated point spread function.After fitting correction,the point spread function is applied to the remote sensing image restoration and to reduce the interference of the degradation ambiguity of the imaging system.Finally,the corrected point spread function and the Richardson-Lucy restoration algorithm are used to restore the remote sensing image.The experimental results show that compared with those of the existing remote sensing image restoration methods based on other point spread function models,the effectiveness of the proposed method is significantly enhanced.
作者
黄国兴
刘艺鹏
彭宏
卢为党
王静文
Huang Guoxing;Liu Yipeng;Peng Hong;Lu Weidang;Wang Jingwen(College of Information Engineering Zhejiang University of Technology,Hangzhou Zhejiang 310023 China;College of Information Engineering China Jiliang University,Hangzhou Zhejiang 310018 China)
出处
《光学学报》
EI
CAS
CSCD
北大核心
2021年第16期216-228,共13页
Acta Optica Sinica
基金
国家自然科学基金面上项目(61871348)
浙江省自然科学基金(LQ21F010014,LQ20F030017)。
关键词
遥感
点扩展函数
刃边法
模糊核
图像复原
remote sensing
point spread function
edge transformation
blurred kernel
image restoration
