摘要
降噪处理是遥感影像预处理的重要步骤,现有的降噪方法大多只使用一种滤波算法对遥感影像进行预处理,本文采用中值滤波和小波变换相结合的降噪方法。在中值滤波的基础上加入小波变换,同时将本文方法与几种不同的方法进行对比,用实验结果分析和信噪比作为评价指标。结果表明,采用本文中的方法得到了图像质量较好的道路信息影像。
De -noising processing is an important step in ~mote sensing image processing, most of the existing de - noising algo- rithms only use a filtering algorithm for remote sensing image processing. This paper tries to adopt a de - noising algorithm that com- bines wavelet transform and median filter. It adds the wavelet transform analysis based on the median filter analysis to de - noise. Be- sides, it compares the new algorithm with other different ways, with the experiment -al results and signal to noise ratio （SNR） as the evaluation indexes. It finally comes to the conclusion that with the new algorithm adopted in this paper we can get the image of road in- formation with better image quality.
出处
《测绘与空间地理信息》
2013年第11期165-167,共3页
Geomatics & Spatial Information Technology
关键词
降噪处理
道路信息
小波变换
中值滤波
de- noising processing
road information
wavelet transform
median filter
