摘要
在高分辨率遥感影像中,线性地物的边界信息和噪音很难分离。利用高通滤波和统计滤波器,构建一个多重滤波,对IKONOS影像中的线性地物的边界特征进行提取,实验结果表明:经过统计滤波处理的线性地物边界信息要比只通过高通滤波的处理的边界信息更加清楚,同时,影像中的噪音也有明显减少,影像中的信噪比明显提高,从而为线性地物边界信息跟踪提供更加可靠的数据源。
It is quite difficult, in high-resolution images, to detach the boundary information of linear surfaces. Used the high-pass filter and statistical filter to build a multi-filter, our research draws the boundary feature of linear surfaces in IKONOS image. The experimental results indicate that boundary information of linear surfaces is clearer processed by statistical filtering than only by high-pass filtering. Meanwhile, noises in thefiltered image are significantly decreasing and the SNR is markedly increasing. Therefore, it offers more dependable data sources for tracking linear surfaces boundary information.
出处
《中国农学通报》
CSCD
北大核心
2010年第12期321-323,共3页
Chinese Agricultural Science Bulletin
基金
聊城大学大学生科技文化创新项目(SRT08053HJ2)
关键词
高通滤波
统计滤波
高分辨率影像
线性特征
噪音
high-pass filter
statistical filter
high-resolution images
linear features
noises
