LI Weilian, ZHU Jun, ZHANG Yunhao, FU Lin, HU Ya, YIN Lingzhi, DAI Yi. A Fusion Modeling and Interaction Method with Spatial Semantic Constraint for Debris Flow VR Scene[J]. Geomatics and Information Science of Wuhan University, 2020, 45(7): 1073-1081. DOI: 10.13203/j.whugis20180329
Citation: LI Weilian, ZHU Jun, ZHANG Yunhao, FU Lin, HU Ya, YIN Lingzhi, DAI Yi. A Fusion Modeling and Interaction Method with Spatial Semantic Constraint for Debris Flow VR Scene[J]. Geomatics and Information Science of Wuhan University, 2020, 45(7): 1073-1081. DOI: 10.13203/j.whugis20180329

A Fusion Modeling and Interaction Method with Spatial Semantic Constraint for Debris Flow VR Scene

Funds: 

The National Key Research and Development Program of China 2016YFC0803105

the National Natural Science Foundation of China 41801297

the National Natural Science Foundation of China 41871289

the Fundamental Research Funds for the Central Universities 2682018CX35

Doctoral Innovation Fund Program of Southwest Jiaotong University 

More Information
  • Author Bio:

    LI Weilian, PhD candidate, specializes in virtual geographical environment and disaster scene modeling. E-mail:vgewilliam@163.com

  • Corresponding author:

    HU Ya, PhD, lecturer. E-mail: huya@home.swjtu.edu.cn

  • Received Date: June 01, 2019
  • Published Date: July 29, 2020
  • The construction of debris flow disaster virtual scenes based on virtual reality(VR) technology provides a new method for interaction and analysis of disasters. However, there are many deficiencies in the visualization of disaster scenes, such as low efficiency of VR scene modeling, single interactive mode, weak query and analysis. Therefore, this paper proposes a fusion modeling and interaction method with spatial semantic constraint for debris flow VR scene, the fusion modeling method is addressed in detail. Multimode interaction scenes are designed by symbol augmented expression and the acquisition of ray focus technologies. A prototype system was implemented and a case study region is selected for experiment analysis. The experimental results show that the proposed method can efficiently construct debris flow VR scene, and meet the user requirements for immersive perception of disaster scenes and disaster information query and analysis.
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