测绘学报 ›› 2022, Vol. 51 ›› Issue (4): 522-533.doi: 10.11947/j.AGCS.2022.20220115

• 同济大学测绘学科创建90周年 • 上一篇    下一篇

国土综合整治三维模型碎片加载优化与调度

刘小波1, 涂建光2, 张海峰1, 李治江3   

  1. 1. 自然资源部国土整治中心, 北京 100035;
    2. 武汉大学遥感信息工程学院, 湖北 武汉 430079;
    3. 武汉大学信息管理学院, 湖北 武汉 430072
  • 收稿日期:2021-11-12 修回日期:2022-03-25 发布日期:2022-04-24
  • 通讯作者: 李治江 E-mail:lizhijiang@whu.edu.cn
  • 作者简介:刘小波(1961-),男,高级工程师,研究方向为遥感数据处理及应用、国土整治及信息化智能化管理。.E-mail:lxb@sasmac.cn
  • 基金资助:
    国家重点研发计划(2021YFB3900900)

Optimization and scheduling of tile loading for three-dimensional model of land consolidation

LIU Xiaobo1, TU Jianguang2, ZHANG Haifeng1, LI Zhijiang3   

  1. 1. Land Consolidation and Rehabilitation, The Ministry of Land and Resource, Beijing 100035, China;
    2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China;
    3. School of Information Management, Wuhan University, Wuhan 430072, China
  • Received:2021-11-12 Revised:2022-03-25 Published:2022-04-24
  • Supported by:
    The National Key Research and Development Program of China (No. 2021YFB3900900)

摘要: 国土整治作为一项国家战略,是解决社会经济发展过程中土地利用问题的重要手段,能有效促进国土空间优化和治理土地退化,对于实施乡村振兴战略和推进生态文明建设具有重大意义。随着我国工业化、城镇化的推进,生产、生活、生态之间矛盾日益凸显,国土整治在全国各地广泛开展,尤其是三维可视化技术的应用发展迅速。但对于国土整治业务而言,三维模型存在数据量大、数据复杂且碎片化程度高等特点,使得三维数据的存储管理和加载调度难度大,制约了其在国土整治中的应用。本文针对国土整治三维数据,提出了存储结构优化方法、三维模型碎片加载优化方法和三维模型调度优化方法,并开展了试验验证和应用示范,验证了本文提出的方法能够有效支撑国土整治中的三维可视化相关业务。

关键词: 国土整治, 三维可视化模型, 三维数据处理, 方法研究

Abstract: As a national strategy, land consolidation is an important method to solve land use problems in the process of social and economic development in many countries. The function of land consolidation is to prevent the dysfunction or degradation of land space, which is significant in promoting the construction of ecological civilization. With the advancement of China's industrialization and urbanization, the contradiction among production,living and ecology has become increasingly prominent. As a key solution, land consolidation projects have been carried out extensively throughout the country, especially based on 3D visualizations technology. However, due to the large volume, complexity and fragmented characteristics of the data, the 3D visualization data storage and loading is too difficult to improve the application of 3D model in land consolidation. This paper supposed storage structure optimization method, model fragment loading optimization method and model scheduling optimization method, validated the methods through experiments and application demonstration. The validation and application proved that the proposed method can effectively support the 3D visualization related business in land consolidation projects.

Key words: land consolidation, 3D visualization model, 3D data processing, methodology research

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