摘要
本文以地理空间数据更新中的海图更新为例,探讨了地理空间数据更新过程中现势性分析的需求和方法,强调了海岸线现势性量化评估在海图更新中的关键作用,分析了现有现势性评估流程及传统相似度评估方法的局限性。针对上述情况,本文提出一种面向海岸现势性分析的线要素相似度评估方法。该方法主要包括3个步骤:首先,设计一种考虑线要素精度的重采样方法,对更新资料进行预处理;然后,建立线要素形状特征提取与转换流程,确保在镜像、旋转、缩放、移位等多场景下特征提取结果的一致性;最后,基于形状特征提取结果的线要素相似度评判标准,实现更新资料和原始资料的量化比对。试验结果表明,该方法具有较强的稳健性和局部线段匹配整体的能力,通过提取线要素的形状特征,实现了线要素相似度的量化评估,为航海图更新提供了有效的技术支持。
This paper takes the updating of nautical charts as an example in the context of geospatial data updates,discussing the requirements and methods for currentness analysis during the process of geospatial data updates.It emphasizes the critical role of quantitatively assessing the currentness of coastlines in nautical chart updates and analyzes the limitations of existing currentness assessment procedures and traditional similarity assessment methods.In response to these situations,this paper proposes a method for assessing the similarity of linear features oriented towards coastal currentness analysis.This method mainly consists of three steps:Firstly,a resampling method considering the accuracy of linear features is designed for preprocessing the update data.Secondly,a workflow for extracting and transforming shape features of linear features is established to ensure consistency of feature extraction results across multiple scenarios such as mirroring,rotation,scaling,and translation.Finally,a criterion for judging the similarity of linear features based on shape feature extraction results is proposed,achieving quantitative comparison between updated and original data.Experimental results show that this method has strong robustness and the ability to match local line segments overall.By extracting the shape features of linear features,it realizes the quantitative evaluation of linear feature similarity,providing effective technical support for nautical chart updates.
作者
马梦锴
董箭
纪冉
谢天
王栋
MA Mengkai;DONG Jian;JI Ran;XIE Tian;WANG Dong(Department of Military Oceanography and Surveying,Dalian Naval Academy,Dalian 116018,China;Key Laboratory of Hydrographic Surveying and Mapping of PLA,Dalian Naval Academy,Dalian 116018,China)
出处
《测绘通报》
北大核心
2025年第8期107-111,117,共6页
Bulletin of Surveying and Mapping
关键词
地理空间数据更新
相似度算法
海图更新
线相似度
geospatial data update
similarity algorithm
nautical chart update
linear similarity
作者简介
马梦锴(1996-),男,硕士生,主要研究方向为海图制图与人工智能。E-mail:mamengkai@163.com;通信作者:董箭。E-mail:navydj@163.com。
