测绘科学技术学报2017，Vol.34Issue(2)：168-174,7.DOI:10.3969/j.issn.1673-6338.2017.02.011
基于语义规则的高分辨率影像道路交叉口提取方法
Road Intersections Extracting from Remote Sensing Imagery Based on Semantic Rules
摘要
Abstract
In order to extract the intersection targets from remote sensing images accurately,a new method for road intersection extraction using characterized semantic rules is proposed in this paper.In this model,the intersection is seen as area object which has two components composed of a set of pixels in homogeneous region and of the region's contour boundaries.The method has two steps:firstly,candidate intersection regions are extracted by characterized semantic matching of radiation and texture features;secondly,the optimal candidate intersections are generated and the properties are identified using characterized semantic matching of geometric features.The feasibility of the proposed method is tested using a set of high-resolution remote sensing images.A comparison with several existing methods shows that the proposed method can extract the road intersections accurately and completely,which can provide useful auxiliary information for road network construction.关键词
遥感影像/道路交叉口/语义规则/同质区域/特征语义/纹理特征Key words
remote sensing image/road intersection/semantic rule/homogeneous region/characterized semantic/texture feature分类
天文与地球科学引用本文复制引用
李润生,司毅博,马德宝,曲梦雅..基于语义规则的高分辨率影像道路交叉口提取方法[J].测绘科学技术学报,2017,34(2):168-174,7.基金项目
国家自然科学基金项目(41001262) （41001262）
地理信息工程国家重点实验室开放基金项目(SKLGIE2016-Z-3-2). （SKLGIE2016-Z-3-2）
