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作 者:张敏 郑哲 林君强 ZHANG Min;ZHENG Zhe;LIN Junqiang(Department of Construction Engineering, Fujian Polytechnic of Information Technology, Fuzhou, Fujian 350003, China;Fujian Geologic Surveying and Mapping Institute, Fuzhou, Fujian 350011, China)
机构地区:[1]福建信息职业技术学院建筑工程系,福建福州350003 [2]福建省地质测绘院,福建福州350011
出 处:《闽江学院学报》2020年第5期74-82,共9页Journal of Minjiang University
基 金:福建省教育厅中青年教师教育科研项目(JZ180398);福建信息职业技术学院校课题(Y18107)。
摘 要:在地理信息数据领域中数据质量应考虑其图形特征,但目前尚未有基于图形特征的质量检测算法,利用OBB包围盒的几何特性提出适用于地理信息数据领域的图形检测算法。为每一个检测对象创建OBB包围盒,应用同名点匹配的方法和以绘点顺序为准的检测方法对图形对象进行检测,考虑图形对象的多语义问题,对算法进行改进,创建属性匹配文件。该算法在检测效率上有明显优势,准确性则随着属性匹配文件的完善有所提高,且能够大幅度缩短图形检测的时间,提升效率,为今后地理信息数据领域的图形检测提供研究基础。In the field of geographic information data,the data quality should consider its graphic features,but currently there is no quality detection algorithm based on the graphic features.A graphic detection algorithm applicable to the field of geographic information data is proposed by the geometric characteristics of OBB bounding box.OBB bounding box is created for each detection object,and graphic objects are detected by using the method of matching points with same name and the detection method based on the order of drawing points.Considering the multi-semantics of graphic objects,the algorithm is improved and the attribute matching file is created.The algorithm has obvious advantages in the detection efficiency,and the accuracy is improved with the perfection of the attribute matching file.This algorithm can greatly improve the time and efficiency of graph detection,and provide a research basis for future graph detection in the field of geographic information data.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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