摘要
以西藏崩错地区的快鸟遥感影像为例,详细论述了遥感图像除云原理以及如何处理薄云和厚云同在相关问题,并提出了一种基于改进后同态滤波的像素级融合恢复图像新方法,首次将高频强调滤波思想引入除云领域,进行了一些实验,效果比较明显。
This paper takes QuickBird image of Tibetan collapsing areas as an example, and introduces the principle of cloud-removing of remote sensing image and how to deal with the related issues on the appearance of thin and thick cloud together. And brings about a new method to restore new image based on pixel fusion of improved homomorphism filtering, in the first place the high-frequency emphasize filter was introduced to the cloud-removing field, some experiments were made and it's effect is perfect.
出处
《石河子大学学报(自然科学版)》
CAS
2009年第5期657-660,共4页
Journal of Shihezi University(Natural Science)
基金
中国地质调查局项目(1212010541403)
关键词
快鸟图像
像素级融合
高频强调滤波
平均梯度
Quickbird image
pixel-level fusion
high-frequency emphasize filter
average gradient