Visibility-Based R-Tree Spatial Index for Consistent Visualization in Indoor and Outdoor Scenes-Reference-Cited by-同舟云学术

Visibility-Based R-Tree Spatial Index for Consistent Visualization in Indoor and Outdoor Scenes

Published:2023-12-12 Issue:12 Volume:12 Page:498
ISSN:2220-9964
Container-title:ISPRS International Journal of Geo-Information
language:en
Short-container-title:IJGI

Author:

Li Chengpeng¹²³⁴^ORCID,Kuai Xi¹^ORCID,He Biao¹²,Zhao Zhigang¹³,Lin Haojia¹,Zhu Wei⁵,Liu Yu⁴,Guo Renzhong¹

Affiliation:

1. Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China

2. Polytechnic Center for Territory Spatial Big-Data, Ministry of Natural Resources, Shenzhen 518060, China

3. Shenzhen Key Laboratory of Digital Twin Technologies for Cities, Shenzhen 518060, China

4. Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources, Shenzhen 518040, China

5. School of Resource and Environmental Sciences, Wuhan University, Wuhan 430079, China

Abstract

(1) Background: The smart city management system, with GIS technology as its core, is based on realistic visualization of multiple types of 3D model data syntheses. However, the efficiency barriers to achieving smooth and continuous visualization from outdoor scenes to small indoor scenes remain a challenge. (2) Methods: This paper uses the visibility prediction method to obtain potential visual sets at three levels—outdoor, indoor and outdoor connection, and indoor—and constructs an R-tree spatial index structure for organizing potential visual sets. By integrating these potential visible sets with spatial indexes, scene visualization can be carried out effectively. (3) Results: A near-reality indoor and outdoor scene was used for experimentation, resulting in stable 10% fluctuation visual frame rates around 90 FPS. (4) Conclusions: Spatial indexing methods that combine potential visible sets can effectively solve the continuity and stability problem of indoor and outdoor scene visualization in smart city management systems.

Funder

Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, the Ministry of Land and Resources

National Key Research and Development Program of China

Guangdong Basic and Applied Basic Research Foundation

Shenzhen Science and Technology Program

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Link

https://www.mdpi.com/2220-9964/12/12/498/pdf

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