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Article

A Three-Dimensional Visualization and Optimization Method of Landslide Disaster Scenes Guided by Knowledge

by
Lin Fu
1,
Jun Zhu
1,
Jianbo Lai
1,
Weilian Li
1,
Pei Dang
1,
Lingzhi Yin
2,*,
Jialuo Li
1,
Yukun Guo
1 and
Jigang You
1
1
Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
2
School of Information Science and Technology, Zhejiang Sci-Tech University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2022, 11(6), 340; https://doi.org/10.3390/ijgi11060340
Submission received: 28 March 2022 / Revised: 22 May 2022 / Accepted: 3 June 2022 / Published: 9 June 2022
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Abstract

The rapid acquisition of deposit volume information and dynamic modeling, as well as the visualization of disaster scenes, have great significance for the sharing of landslide information and the management of emergency rescue. However, existing methods have shortcomings, such as a long and costly deposit volume acquisition cycle, lack of knowledge and guidance, complex operations for scene modeling expression, and low scene rendering efficiency. Therefore, this paper focuses on the study of a three-dimensional visualization and optimization method for landslide disaster scenes guided by knowledge, and discusses key technologies such as the rapid acquisition of landslide deposit volume information based on three-dimensional reconstruction, the knowledge-guided dynamic modeling visualization of disaster scenes, and scene optimization considering visual significance. The prototype systems are developed and used in a case experiment and analysis. The experimental results show that the proposed method can quickly obtain the deposit volume, and the results are equivalent to ContextCapture, Metashape, and Pix4Dmapper software. The method realizes the dynamic visualization of the whole disaster process, provides rich information, achieves high readability, and improves the efficiency of scene rendering, with a stable average rendering frame rate of more than 80 frames/second.
Keywords: landslide disaster; knowledge-guided; three-dimensional visualization; scene optimization; virtual geographic environment landslide disaster; knowledge-guided; three-dimensional visualization; scene optimization; virtual geographic environment
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MDPI and ACS Style

Fu, L.; Zhu, J.; Lai, J.; Li, W.; Dang, P.; Yin, L.; Li, J.; Guo, Y.; You, J. A Three-Dimensional Visualization and Optimization Method of Landslide Disaster Scenes Guided by Knowledge. ISPRS Int. J. Geo-Inf. 2022, 11, 340. https://doi.org/10.3390/ijgi11060340

AMA Style

Fu L, Zhu J, Lai J, Li W, Dang P, Yin L, Li J, Guo Y, You J. A Three-Dimensional Visualization and Optimization Method of Landslide Disaster Scenes Guided by Knowledge. ISPRS International Journal of Geo-Information. 2022; 11(6):340. https://doi.org/10.3390/ijgi11060340

Chicago/Turabian Style

Fu, Lin, Jun Zhu, Jianbo Lai, Weilian Li, Pei Dang, Lingzhi Yin, Jialuo Li, Yukun Guo, and Jigang You. 2022. "A Three-Dimensional Visualization and Optimization Method of Landslide Disaster Scenes Guided by Knowledge" ISPRS International Journal of Geo-Information 11, no. 6: 340. https://doi.org/10.3390/ijgi11060340

APA Style

Fu, L., Zhu, J., Lai, J., Li, W., Dang, P., Yin, L., Li, J., Guo, Y., & You, J. (2022). A Three-Dimensional Visualization and Optimization Method of Landslide Disaster Scenes Guided by Knowledge. ISPRS International Journal of Geo-Information, 11(6), 340. https://doi.org/10.3390/ijgi11060340

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