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作 者:郭倩 GUO Qian(Anhui First Institute of Surveying and Mapping,Hefei 230031,China)
机构地区:[1]安徽省第一测绘院,合肥230031
出 处:《工程建设与设计》2021年第5期88-90,共3页Construction & Design for Engineering
摘 要:在道路信息监测提取中,存在着不少问题,如高分辨率遥感影响数据以及道路网络数据提取的效率不高、精度不足,影响信息应用的效果。论文从地理国情监测的角度,提出了一种道路信息半自动提取方案,先借助模板匹配完成初步提取,再通过人机交互的方式来对初步提取的结果进行精细化处理,最后使用自适应优化算法优化道路边界,得到具备较好影像套合的路网半自动提取结果。In the road information monitoring and extraction,there are many problems,such as the high-resolution remote sensing data and the road network data extraction efficiency is not high,the accuracy is insufficient,which affects the effect of information application.From the perspective of geographical conditions monitoring,this paper proposes a semi-automatic extraction scheme of road information.The preliminary extraction is completed with the help of template matching,and then the preliminary extraction results are refined by human-computer interaction.The road boundary is optimized by using adaptive optimization algorithm.Finally,the semi-automatic extraction results of road network with better image matching can be obtained.
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