Computer Science ›› 2021, Vol. 48 ›› Issue (11A): 644-647.doi: 10.11896/jsjkx.210200025

• Interdiscipline & Application • Previous Articles     Next Articles

Three-dimensional Reconstruction of Cone Meteorological Data Based on Improved MarchingTetrahedra Algorithm

MA Jun-cheng, JIANG Mu-rong, FANG Su-qin   

  1. School of Information Science and Engineering,Yunnan University,Kunming 650500,China
  • Online:2021-11-10 Published:2021-11-12
  • About author:MA Jun-cheng,born in 1995,postgraduate.His main research interests include 3D visualization and so on.
    JIANG Mu-rong,born in 1963,professor.Her main research interests include mathematical method of image processing and its intelligent calculation

Abstract: In the field of meteorology,the meteorological data detected by Doppler radar is stored in the form of spatial polar coordinates,and the detected meteorological targets have the characteristics of uneven distribution,scattered regions,and irregular shapes.In order to meet the needs of 3D reconstruction of meteorological targets,the Marching Tetrahedra 3D reconstruction algorithm is improved according to the characteristics of radar data.First,the Barnes interpolation method and the interpolation method of the Fourier spectrum analysis principle are used in the vertical direction and radius of the radar cone data.This algorithm encrypts the echo intensity value between the two directions,divides the new hexahedron formed by the encrypted echo polar coordinate data into basic tetrahedral units,and uses linear interpolation to obtain the specific position of each vertex,and combines the multi-level surface when drawing.The rendering technology renders 3D images.The algorithm avoids the reconstruction of areas with high elevation angles and long distances without echo data.Experiments show that the improved algorithm can not only achieve better and faster three-dimensional reconstruction,but also observe and analyze the internal details of the cloud layer,which provides a certain reference basis for accurate weather forecasting.

Key words: Marching Tetrahedra algorithm, Multi-level 3D reconstruction, Radar data interpolation, Weather radar

CLC Number: 

  • TP391
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