路网增量更新中基于OSTU的目标几何匹配阈值计算

Target Geometry Matching Threshold in Incremental Updatingof Road Networks Based on OSTU

  • 摘要: 目的 电子地图数据增量更新过程中的几何匹配是道路网目标匹配最常用的方法之一,其中,阈值的选取是几何匹配能否准确完成的先决条件。针对目前常用的经验阈值方法存在的适应性差、误差大、精度低等不足,利用匹配叠置数据具有多峰分布这一特性,本文提出了一种基于最大类间方差法(OSTU)的匹配阈值动态计算方法。实验结果表明,该方法得到的匹配阈值相对于经验阈值具有更好的自适应性和准确性,并且算法简单、易于实现。

     

    Abstract: Objective Geometric matching of electronic map data for navigation is one of the most common meth-ods used for road network object matching:threshold selection is the precondition for geometric matc-hing.Nowadays,there are many disadvantages in the existing methods,such as poor adaptability,1066 large errors,low precision.Aiming to solve these drawbacks,we took the advantage of multimodaldistribution characteristics in the matching data,and proposed a dynamic calculation method for matc-hing threshold based on the method of maximum classes square error(OSTU method).In this re-search,the fundamental principles and implementation process are introduced and detailed.Experi-mental results show that the proposed method has advantages of better self-adaptivity and higher accu-racy.Furthermore,the proposed method is easy to realize,and has potential to be widely used.

     

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