超高分辨率卫星图像过滤

Assia Kourgli, Y. Oukil
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引用次数: 0

摘要

本文介绍了一种适用于去除超高分辨率卫星图像中树木、汽车等伪影的新型非线性滤波器。它是基于三个不同大小和形状的过滤器的应用,允许每次去除比过滤器小的工件。这三种滤波器是基于对被均匀区域包围的噪声像素的研究。首先,对被不同类型噪声破坏的Berkeley数据库图像进行了测试,并将滤波器的性能与各向同性扩散滤波器和双边滤波器的性能进行了比较。在第二阶段,我们将我们的滤波技术应用于HRS图像,获得了令人满意的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Very High Resolution Satellite Images Filtering
This paper introduces a new non linear filter suitable for artifacts (trees, cars, etc.) removing in Very High Resolution Satellite (VHRS) Images. It is based on the application of three filters of different sizes and shapes that permits each time to remove the artifacts smaller than the filter. These filters are based on the research of noisy pixels surrounded by homogenous area according to the three filters. First, tests have been conducted on Berkeley database images corrupted with different kinds of noise comparing the filter performances to that of an isotropic diffusion and bilateral filters. In a second stage, we applied our filtering technique to HRS images obtaining promising results.
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