测绘学报 ›› 2026, Vol. 55 ›› Issue (4): 739-752.doi: 10.11947/j.AGCS.2026.20250523

• 地图学与地理信息 • 上一篇    

在线地图地形可视化智能设计

胡茜妮1(), 亢孟军1(), 葛亮2,3, 苏世亮1, 翁敏1   

  1. 1.武汉大学资源与环境科学学院城市计算与可视化研究室,湖北 武汉 430079
    2.天津测绘院有限公司,天津 300381
    3.天津市时空信息工程技术重点实验室,天津 300381
  • 收稿日期:2025-12-15 修回日期:2026-03-26 发布日期:2026-05-11
  • 通讯作者: 亢孟军 E-mail:xinihu@whu.edu.cn;mengjunk@whu.edu.cn
  • 作者简介:胡茜妮(2000—),女,博士生,研究方向为地理人工智能与空间信息可视化。 E-mail:xinihu@whu.edu.cn
  • 基金资助:
    天津市时空信息工程技术重点实验室资助项目(SKXX-KF-2026-005);国家重点研发计划(2022YFC3005700)

Intelligent design of terrain visualization for online maps

Xini HU1(), Mengjun KANG1(), Liang GE2,3, Shiliang SU1, Min WENG1   

  1. 1.Urban Computing and Visualization Lab, School of Resources and Environmental Sciences, Wuhan University, Wuhan 430079, China
    2.Tianjin Institute of Surveying and Mapping, Tianjin 300381, China
    3.Tianjin Key Laboratory of Spatio-Temporal Information Engineering and Technology, Tianjin 300381, China
  • Received:2025-12-15 Revised:2026-03-26 Published:2026-05-11
  • Contact: Mengjun KANG E-mail:xinihu@whu.edu.cn;mengjunk@whu.edu.cn
  • About author:HU Xini (2000—), female, PhD candidate, majors in geographic artificial intelligence and spatial information visualization. E-mail: xinihu@whu.edu.cn
  • Supported by:
    Funded by Tianjin Key Laboratory of Spatio-Temporal Information Engineering and Technology(SKXX-KF-2026-005);The National Key Research and Development Program of China(2022YFC3005700)

摘要:

地形可视化是地图服务中刻画地貌特征与地表形态的核心表现形式,当前地形可视化存在专业性强、场景不适配等问题,难以满足多元化的地图服务需求。本文提出一种面向三维地形可视化的多智能体方法,将地形可视化设计过程拆解为阴影样式智能体(HSAgent)、分级设色智能体(CRAgent)及样式评估智能体(EAgent),实现用户意图分析、制图策略推理、自我迭代优化与在线可视化输出的协同流程。在预设场景和自由场景下进行案例测试,涵盖生成式和修订式任务,并开展主观视觉评价和场景匹配问卷调查进行验证。结果表明,本文方法能够实现地形样式的快速设计,在视觉表现和功能支撑上优于ArcGIS Pro生成的样式,且在不同场景下具有良好的泛化效果,为在线地形可视化提供了一种高效且具备通用性的技术路径。

关键词: 地形可视化, 在线地图, 多智能体, 智能制图

Abstract:

Terrain visualization is a core component of map services for representing landforms and surface characteristics. However, existing terrain visualization methods are often highly specialized and poorly adapted to diverse application scenarios, which limits their ability to meet the growing demands of map services. This study proposes a multi-agent 3D terrain visualization method, in which the terrain design process is decomposed into a hillshade agent (HSAgent), a color-relief agent (CRAgent), and a evaluation agent (EAgent). The proposed method supports user intent analysis, cartographic strategy reasoning, iterative self-optimization, and online visualization output in a coordinated workflow. Case tests were carried out in preset scenes and free scenes, covering generative and revised tasks, and subjective visual evaluation and scene matching questionnaire survey were carried out for verification. The results show that this method can realize the rapid design of terrain style, which is superior to the style generated by ArcGIS Pro in visual performance and functional support, and has good generalization effect in different scenarios. It provides an efficient and versatile technical path for online terrain visualization.

Key words: terrain visualization, online maps, multi-agent, intelligent mapping

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