测绘学报 ›› 2021, Vol. 50 ›› Issue (1): 132-141.doi: 10.11947/j.AGCS.2021.20200018

• 地图学与地理信息 • 上一篇    下一篇

改进的地图制图点注记配置探测信息模型

胡冯伟1,2, 乔俊军1, 陈张健2, 龚丽芳2, 李爱勤2   

  1. 1. 武汉大学测绘学院, 湖北 武汉 430079;
    2. 浙江省测绘科学技术研究院, 浙江 杭州 311100
  • 收稿日期:2020-01-13 修回日期:2020-04-25 发布日期:2021-01-15
  • 通讯作者: 乔俊军 E-mail:jjqiao@sgg.whu.edu.cn
  • 作者简介:胡冯伟(1990-),男,硕士,工程师,研究方向为地图制图与地理信息系统、政务地理信息服务、应急地理信息服务。E-mail:whuwei@foxmail.com
  • 基金资助:
    国家重点研发计划(2016YFC0803106)

An improved detecting information model of point annotation labelling in cartography

HU Fengwei1,2, QIAO Junjun1, CHEN Zhangjian2, GONG Lifang2, LI Aiqin2   

  1. 1. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China;
    2. Surveying and Mapping Science Institute of Zhejiang, Hangzhou 311100, China
  • Received:2020-01-13 Revised:2020-04-25 Published:2021-01-15
  • Supported by:
    The National Key Research and Development Program of China(No. 2016YFC0803106)

摘要: 点注记作为地图信息传输的媒介之一,是地图不可或缺的组成部分。以往对点注记的自动化配置研究主要考虑注记的冲突问题,忽略了背景要素的空间分布与结构特征,而背景要素分布结构与点注记质量密切相关。本文以注记清晰性、指代明确性、配置均匀性和归属正确性规则为出发点,构建点注记质量与背景要素的相关性量化描述,提出一种改进的探测信息模型。模型顾及了要素拓扑关系、数据结构、视觉位置、行政区划所导致的探测信息量的差异性,以国家1∶100万基础地理信息数据为例,将研究结果与第一代模型以及Maplex进行对比验证分析。试验表明,本文模型能够进一步减少局部区域的探测信息量,有效规避了背景要素,提升了注记的清晰性与可读性。

关键词: 点注记配置, 压盖结构, 压盖位置, 探测信息模型

Abstract: As one of the media of map information transmission, point annotation is an indispensable part of map. In the past, most of the researches on point annotation labelling automatically only considered confliction problem. However, they ignored the spatial distribution and structural characteristics of background features, which are closely related to point annotation quality. Therefore, we firstly construct a quantitative description of correlation between point annotation quality and background features by starting with the annotation's clarity, explicity, distribution uniformity and attribution correctness rules. Then we proposed an improved detecting information model which takes into account the detecting information caused by feature topological relation, data structure, visual position and district. We experimented the proposed method and compared with the first generation model and Maplex on national 1∶1 million geographic information data, results showed that the model could effectively decrease detecting information in local area and avoid background features maximally, then improve point annotation's clarity and Readability.

Key words: point annotation labelling, overlap structure, overlap position, detecting information model

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