遥感图像恢复方法研究

Study on Recovering of Remote Sensing Images

本文基于遥感图像恢复理论,建立了图像的退化模型,并在此基础上,采用约束还原和非约束还原分析图像的恢复。遥感图像恢复的约束还原方法主要采用维纳滤波和约束最小二乘滤波;非约束还原主要采用盲解卷积与Lucy-Richardson等方法,并进行对结果的分析与比较。分析结果表明,Lucy-Richardson方法对遥感图像恢复能够较清晰地反映实际图像。

Based on the theory of recovering of remote sensing images, the paper builds degradation models of images. On this basis, the paper analyzes the recovering of image through constraint revivification methods and permissive revivification methods. Constraint revivification methods mainly adopt the Wiener filtering method and constrained least squares filtering method, while the permissive ones utilize the blindness convolution method and Lucy-Richardson method. Analysis and comparison of these methods and their results show that Lucy-Richardson method is better for analyzing remote sensing images.