测绘通报 ›› 2025, Vol. 0 ›› Issue (8): 83-88,94.doi: 10.13474/j.cnki.11-2246.2025.0813

• 学术研究 • 上一篇    下一篇

地理动画中点要素注记稳定更新的遗传算法

魏智威1,2, 杨乃3, 丁愫4, 陈业滨5, 郭仁忠2,5   

  1. 1. 湖南师范大学地理科学学院, 湖南 长沙 410006;
    2. 人工智能与数字经济广东省实验室(深圳), 广东 深圳 518132;
    3. 中国地质大学(武汉)地理与信息工程学院, 湖北 武汉 430074;
    4. 浙江农林大学环境与资源学院, 浙江 杭州 311300;
    5. 深圳大学建筑与城市规划学院智慧城市研究院, 广东 深圳 518060
  • 收稿日期:2024-12-03 出版日期:2025-08-25 发布日期:2025-09-02
  • 作者简介:魏智威(1993—),男,博士,主要研究方向为地理可视化、三维重建等。E-mail:2011301130108@whu.edu.cn
  • 基金资助:
    国家自然科学基金(42171438);国家重点研发计划(2023YFC3804800)

Genetic algorithm for stable updating of point feature annotation in geographic animations

WEI Zhiwei1,2, YANG Nai3, DING Su4, CHEN Yebin5, GUO Renzhong2,5   

  1. 1. Hunan Normal University, School of Geographic Sciences, Changsha 410006, China;
    2. Guangdong Laboratory of Artificial Intelligence and Digital Economy, Shenzhen 518132, China;
    3. School of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan 430074, China;
    4. College of Environmental and Resource Science, Hangzhou 311300, China;
    5. Research Institute for Smart City, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
  • Received:2024-12-03 Online:2025-08-25 Published:2025-09-02

摘要: 针对地理动画中点要素的注记更新问题,本文提出了一种基于遗传算法的注记配置优化方法。该方法旨在提高地理动画中注记的时序稳定性,避免帧间注记位置的频繁变化和冲突。通过对注记配置约束条件进行分析,综合考虑了注记压盖、位置优先级、关联性及时序稳定性等多种因素,并提出了一种自适应调整的遗传算法,以优化地理动画注记的配置效果。为验证该方法,开发了相应的地理动画制作工具原型。试验结果表明,该方法能够有效减少地理动画中帧间注记位置的变化,优化了注记的视觉效果,但是也略微增加了算法耗时。

关键词: 视频GIS, 注记配置, 地理可视化, 动态可视化, 遗传算法

Abstract: This study focuses on the issue of point feature label updates in geographic animations and proposes an optimized label placement method based on a genetic algorithm.The method aims to improve the temporal stability of label placements in geographic animations,preventing frequent changes and conflicts in label positions between frames.By analyzing the constraints of label placement,this paper takes into account various factors such as label overlap,positional priority,association,and temporal stability,and introduces an adaptive genetic algorithm to optimize the label placement in geographic animations.Additionally,to validate the proposed method,a prototype tool for geographic animation production was developed.Experimental results demonstrate that the proposed method effectively reduces the variation in label positions between frames in geographic animation,ensuring visual consistency in label placement,though it slightly increases the algorithm's execution time.

Key words: video GIS, label placement, geovisualization, dynamic visualization, genetic algorithm

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