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结合笔画宽度变换与均值漂移的遥感影像道路提取
引用本文:张霞,张春亢,李红梅,罗竹,林健云.结合笔画宽度变换与均值漂移的遥感影像道路提取[J].测绘科学技术学报,2019,36(3):287-292.
作者姓名:张霞  张春亢  李红梅  罗竹  林健云
作者单位:贵州大学 矿业学院,贵州 贵阳,550025
基金项目:国家自然科学基金;贵州省科技计划;贵州省科技计划
摘    要:针对在高分辨率遥感影像进行道路提取时,笔画宽度变换算法受周围地物的影响较大,无法直接获取高精度道路信息的问题,提出一种结合笔画宽度变换与均值漂移的道路提取方法:首先,利用均值漂移算法对遥感影像进行分割,以减少笔画宽度变换的错提取现象;其次,运用笔画宽度变换将不同类别的像素分为道路类和非道路类;最后,为进一步提高道路提取精度,减小斑点和非道路区域干扰,采用数学形态学方法进行提取后处理。实验结果表明:该方法可以从遥感影像中准确完整地提取出道路信息,且比直接使用笔画宽度变换算法和均值漂移算法的提取精度更高。

关 键 词:高分辨率遥感影像  中值滤波  笔画宽度变换  均值漂移  道路提取

Road extraction of remote sensing images based on Stroke Width Transform and Mean Shift
ZHANG Xia,ZHANG Chunkang,LI Hongmei,LUO Zhu,LIN Jianyun.Road extraction of remote sensing images based on Stroke Width Transform and Mean Shift[J].Journal of Zhengzhou Institute of Surveying and Mapping,2019,36(3):287-292.
Authors:ZHANG Xia  ZHANG Chunkang  LI Hongmei  LUO Zhu  LIN Jianyun
Institution:(The Mining College of Guizhou University,Guiyang 550025,China)
Abstract:Aiming at the road extraction in high-resolution remote sensing images, the SWT(Stroke Width Transform) algorithm is greatly affected by surrounding objects, and it is impossible to directly obtain high-precision road information. A new road extraction method combining SWT and mean drift is proposed. Firstly, the mean shift algorithm is used to segment the high-resolution remote sensing image to reduce the error extraction of the SWT. Secondly, the different types of pixels are divided into road and non-road by SWT. Finally, in order to further improve the accuracy of road extraction and reduce speckles and non-road area interference, mathematical morphology method is used to post-process the extraction. The experimental results show that the new algorithm can accurately and completely extract the road information from the remote sensing image, and the extraction accuracy is higher than the direct use of the SWT algorithm and mean shift algorithm.
Keywords:high-resolution remote sensing images  median filter  SWT(Stroke Width Transform)  mean shift  road extraction
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