摘要
归纳与总结了遥感图像增强中的几种常用滤波方法。以广州城区作为试验区,Landsat TM影像作为数据源,分别运用纹理分析和卷积滤波对研究区域的遥感影像行增强处理,并对这些方法的影像增强效果进行质量评价。结果表明,高通滤波最适合于城市道路等线状地物的遥感图像增强。
This paper briefly summarized several common filtering methods of remote sensing image enhancement.Taking the urban area of Guangzhou as study area and the Landsat TM image as data source,the methods of texture analysis and convolution filtering were used to enhance the remote sensing image of study area.By means of comparing the enhancement effect to assess the image quality,the results show that high pass filtering is the most suitable method of remote sensing image enhancement filtering for the visual identification of city roads and other linear features.
出处
《地理空间信息》
2015年第2期104-106,109,共4页
Geospatial Information
基金
广东省科技计划项目(2010B060100068)
关键词
图像增强
滤波
纹理分析
卷积滤波
image enhancement
filtering
texture analysis
convolution filtering
