测绘学报 ›› 2020, Vol. 49 ›› Issue (7): 921-933.doi: 10.11947/j.AGCS.2020.20200004

• 地图学与地理信息 • 上一篇    下一篇

曲线多尺度表达的Head-Tail信息量分割法

刘鹏程1,2, 肖天元1,2, 肖佳1,2, 艾廷华3   

  1. 1. 华中师范大学城市与环境科学学院, 湖北 武汉 430079;
    2. 华中师范大学地理过程分析与模拟湖北省重点实验室, 湖北 武汉 430079;
    3. 武汉大学资源与环境科学学院, 湖北 武汉 430079
  • 收稿日期:2020-01-02 修回日期:2020-04-06 发布日期:2020-07-14
  • 通讯作者: 肖佳 E-mail:jiaxiao@mail.ccnu.edu.cn
  • 作者简介:刘鹏程(1968-),男,副教授,研究方向为地图综合和空间模式识别。E-mail:liupc@mail.ccnu.edu.cn
  • 基金资助:
    国家重点研发计划(2017YFB0503500);国家自然科学基金(41531180);中央高校自主科研项目(CCNU30106190454);数字制图与国土信息应用工程自然资源部重点实验室开放研究基金(ZRZYBWD201909)

A Head-Tail information break method oriented to multi-scale representation of polyline

LIU Pengcheng1,2, XIAO Tianyuan1,2, XIAO Jia1,2, AI Tinghua3   

  1. 1. School of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China;
    2. Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province, Central China Normal University, Wuhan 430079, China;
    3. School of Resource and Environment Sciences, Wuhan University, Wuhan 430079, Chinat
  • Received:2020-01-02 Revised:2020-04-06 Published:2020-07-14
  • Supported by:
    The National Key Research and Development Program of China (No. 2017YFB0503500);The National Natural Science Foundation of China (No. 41531180);The Self-determined Research Funds of CCNU from the Colleges’ Basic Research and Operation of MOE (No. CCNU30106190454);The Open Research Fund Program of Key Laboratory of Digital Mapping and Land Information Application Engineering of Ministry of Natural Resource (No. ZRZYBWD201909)

摘要: 本文提出一种基于Head-Tail信息量分割的地理要素多尺度表达模型。首先通过傅里叶变换将地理线要素转换为傅里叶描述子,并通过香农信息熵理论计算其频域信息量。其次,按Head-Tail数据分布模式确定地理要素信息量的分界点,并设计函数对各个分界点所对应的傅里叶截断频率进行估计。最后,参考传统方根模型,建立以地理要素频率信息量为基础的信息方根模型,计算与各个地图层次相对应的关键尺度,实现地理要素的层次化多尺度表达。采用等高线及海岸线的数据试验表明,本文所提出的模型能够有效根据设定的比例尺对地理要素进行化简,对不同目标比例尺的简化结果体现出了良好的区分度与层次性。同时,在保证化简结果与原地理要素面积重叠比一致的情况下,本文模型所得到的结果优于传统的简化算法。

关键词: 多尺度表达, 傅里叶变换, 频域, 信息量, Head-Tail分割

Abstract: It is proposed that a multi-scale representation model of geographic polyline based on Head-Tail break of amount of information. Firstly, a geographic polyline is transformed into a Fourier shape descriptors, and the amount of information in frequency domain is defined using Shannon’s information entropy theory. Secondly, Head-Tail breaks is introduced to determine the demarcation points of information content of the polyline, and a function is designed to estimate the Fourier truncating frequency corresponding to each demarcation point. Finally, the traditional radical model based on the frequency information amount of polyline is introduced to measure the key scales and to achieve hierarchical multi-scale representation of polylines. The experiments of contour and coastline demonstrate that the model proposed can effectively simplify geographic polylines according to the set scale, and the simplification results of different target scales exist good degree of differentiation and hierarchy. At the same time, under the same overlap ratio between the simplified result and the original geographic polyline, the model proposed is better than the traditional simplification algorithm.

Key words: multi-scale representation, Fourier transform, frequency domain, amount of information, Head-Tail break

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