摘要
遥感图像大部分是直接以数字图像的形式取得的,遥感图像处理的目的主要是对遥感图像进行校正工作(包括幅射校正与几何畸变校正),以及针对不同应用领域进行不同的多光谱信息统计分类研究工作;滤波工作是遥感图像处理中的一个重要基础步骤,滤波效果的好坏,直接影响到遥感图像处理的最终精确度;文章首先分析了图像滤波处理的基本原理,然后介绍一种利用高级语言实现图像滤波处理的算法,在实验中以高通模板为例,经过高通滤波后,将图像中频率较高的部分突出显示,增强了图像的可识别率,证明了该方法的可行性。
A majority of remote image are directly obtained from digit image. The aim of remote image processing is revising remote image （including radiation revising and geometry aberrance revising）, and sortting various spectrum according to different application area. The filtering is the foundation of the remote image processing. It directly affects precision of the remote image processing. The article introduces fundamental image filtering and an implementation of remote image filtering using high language. In the experimentation, by high frequency model, the high frequency part of image stands out. This means can improve resolving power, it make sure that this means is effective.
出处
《计算机测量与控制》
CSCD
2006年第4期517-518,551,共3页
Computer Measurement &Control
关键词
遥感图像
图像增强
滤波
高通模板
remote image
image enhancement
filter
high frequency model
