A New Method for Automatic Large Scale Map Updating Using Mobile Mapping Imagery
A New Method for Automatic Large Scale Map Updating Using Mobile Mapping Imagery
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DOI：
10.1111/phor.12018
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发表时间：
2013-09
期刊：
影响因子：
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通讯作者：
Jianliang Ou;G. Qiao;Feng Bao;Weian Wang;K. Di;Rongxing Li
中科院分区：
文献类型：
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作者：
Jianliang Ou;G. Qiao;Feng Bao;Weian Wang;K. Di;Rongxing Li
陆基移动测绘系统(MMS)技术提供了一种更新地理空间信息的创新方式，其特点是快速数据收集和直接地理参考。提出了一种利用连续彩信图像自动更新大比例尺地图的新方法。该技术的一个主要组成部分是通过改进的Hough变换和消失点分类从这类图像中提取垂直线。使用核线约束和随机样本一致性(RANSAC)策略对这些线进行立体匹配，并通过摄影测量交会获得对象空间位置。根据这些垂直线结合基本的多边形模板来识别建筑物，从而允许更新地图。
Land‐based mobile mapping system (MMS) technology provides an innovative way to update geospatial information, characterised by rapid data collection and direct georeferencing. This paper presents a new method for automatically updating large scale maps using sequential MMS imagery. A major component of the technique is the extraction of vertical lines from such imagery through an improved Hough transform and vanishing point classification. These lines are stereomatched using an epipolar constraint and random sample consensus (RANSAC) strategy, with object space positions obtained by photogrammetric intersection. Buildings are recognised based on these vertical lines in conjunction with basic polygon templates, allowing maps to be updated.