摘要
从遥感影像中提取道路信息制作专题图方法具有时效性强、周期短、操作快捷等特点。首先介绍了道路提取、处理以及专题图制作的方法与流程。其次以Google高分辨率影像为数据源,利用影像中道路的光谱和几何特征信息,结合计算机分类与形态学处理方法对实验区城市道路网络进行提取、处理和专题图的制作。实验结果表明:该方法能够清晰地提取出道路框架,满足一定的制图需求,而且对车辆、人群、阴影产生的道路内部空洞和边缘侵蚀具有很好的处理效果,具有较强的经济性和实用性。
It has the features of time-sensitive,short cycle and quick operation etc that making thematic mapping with road information extracted from remote sensing image.In this paper,having introduced the method and process of road extraction,treatment and production of thematic map.Having the Google high resolution image as the data source,and extracting the road nets to produce the thematic map of the study areas by combining the spectral and geometric feature information of the road and the method of computer classification and morphological processing.The result of test shows that the method can meet the demand of thematic mapping,and the road nets extracted from the Google Image are very clear,and has good treatment result on the cavity and edge erosion of the road caused by vehicles,people and shadow.So it is an economical,efficient and practicable method.
出处
《遥感技术与应用》
CSCD
北大核心
2012年第1期100-105,共6页
Remote Sensing Technology and Application
基金
国家自然科学基金项目(41075046)
湖南省教育厅重点科技计划项目(07A02)
测绘遥感信息工程国家重点实验室项目(10R01)资助
关键词
影像
城市路网
信息提取
形态学
地图制图
Images
Urban road network
Information extraction
Morphological
Cartography
