武汉大学测绘学院—赵前胜副教授 |《测绘学报(英文版)》2024年第3期重磅综述文章推荐

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摘要:ZHAO Qiansheng, TANG Ruibing, PENG Mingjun, GUO Mingwu. A Web-Based Approach for the Efficient Management of Massive Multi-source

🔷Title l 题目

A Web-Based Approach for the Efficient Management of Massive Multi-source 3D Models

🔷Citation l 引文格式

ZHAO Qiansheng, TANG Ruibing, PENG Mingjun, GUO Mingwu. A Web-Based Approach for the Efficient Management of Massive Multi-source 3D Models[J]. Journal of Geodesy and Geoinformation Science, 2024, 7(3): 24-41.

🔷Abstract l 摘要

Effectively managing extensive, multi-source, and multi-level real-scene 3D models for responsive retrieval scheduling and rapid visualization in the Web environment is a significant challenge in the current development of real-scene 3D applications in China. In this paper, we address this challenge by reorganizing spatial and temporal information into a 3D geospatial grid. It introduces the Global 3D Geocoding System (G3DGS), leveraging neighborhood similarity and uniqueness for efficient storage, retrieval, updating, and scheduling of these models. A combination of G3DGS and non-relational databases is implemented, enhancing data storage scalability and flexibility. Additionally, a model detail management scheduling strategy (TLOD) based on G3DGS and an importance factor Tis designed. Compared with mainstream commercial and open-source platforms, this method significantly enhances the loadable capacity of massive multi-source real-scene 3D models in the Web environment by 33 %, improves browsing efficiency by 48%, and accelerates invocation speed by 40%.

🔷Key Words l 关键词

massive multi-source real-scene 3D model; non-relational database; global 3D geocoding system; importance factor; massive model management

🔷Authors l 作者

ZHAO Qiansheng, TANG Ruibing, PENG Mingjun, GUO Mingwu.

🔷全文摘录如下

来源:测绘学报

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