测绘通报 ›› 2023, Vol. 0 ›› Issue (6): 172-175.doi: 10.13474/j.cnki.11-2246.2023.0189

• 技术交流 • 上一篇    下一篇

基于二维、三维平台AIS三维可视化制图综合关键方法

陈贵花, 彭文   

  1. 南海航海保障中心广州海事测绘中心, 广东 广州 510320
  • 收稿日期:2022-08-26 发布日期:2023-07-05
  • 通讯作者: 彭文。E-mail:13609038376@139.com
  • 作者简介:陈贵花(1968-),女,教授级高级工程师,主要从事海图编制及信息化系统研究。E-mail:13456258@qq.com

Key methods of 3D visualization cartographic generalization in AIS based on 2D/3D platform

CHEN Guihua, PENG Wen   

  1. Guangzhou Hydrographic Center, Southern Navigation Service Center, Guangzhou 510320, China
  • Received:2022-08-26 Published:2023-07-05

摘要: 针对当前各平台接入船舶自动识别系统(AIS)提供水上船舶信息服务所面临的海量数据二维显示、加载数据冗余、种类单一等问题,本文提出了一种优化的AIS船舶三维可视化制图综合关键方法。该方法从AIS船舶三维可视化处理、动态数据解析、依比例显示加载技术、船舶属性可视化等方面进行阐述,提高了AIS数据的加载、更新速度,以及船舶识别度;运用制图综合的方法,科学地处理了不同显示比例尺下AIS数据与其他图面要素的屏幕载荷量,有效提升了船舶种类的识别度与合理美观的可视化效果。

关键词: 船舶自动识别系统, 三维可视化, 依比例显示加载, 制图综合

Abstract: In view of the problems of 2D display and loading of massive data, data redundancy and single type of data faced by automatic identification system(AIS) accessed by various platforms in providing maritime ship information services, this paper proposes an optimized key method for 3D visualization cartographic generalization of AIS ships.The method is elaborated from the aspects of AIS ship 3D visualisation processing, dynamic data analysis, scaled display loading technology and ship attribute visualisation, which greatly improves the loading and updating speed of AIS data as well as maritime ship identification, while using the method of cartographic generalization to scientifically handle the amount of screen loading of AIS data and other chart elements at different display scales, effectively improving the identification of ship types and the visualisation effect of reasonable aesthetics.

Key words: automatic identification system, 3D visualization, scaled display loading, cartographic generalization

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