Three-Dimensional Reconstruction of Radar Weather Data Based on Improved Marching Cubes Algorithm
In the field of meteorology,the meteorological data detected by Doppler weather radar is stored in a three-dimensional polar coordi-nate system with the radar station as the origin,which has characteristics such as irregular shape and large data volume.The Marching Cubes(MC)algorithm is a classic algorithm in 3D reconstruction,but it has the disadvantages of low reconstruction efficiency and inability to direct-ly process meteorological data when applied in the meteorological field.In order to achieve three-dimensional reconstruction of meteorological data,a radar data normalization and state labeling discrimination algorithm NBV-MC is proposed based on the MC algorithm.This algorithm normalizes and preprocesses radar based data files based on their characteristics,constructs trapezoidal hexahedral voxels using radar based data,marks the state of each hexahedral voxel,and dynamically determines whether it needs to be processed when traversing hexahedral vox-els.The experimental results show that the NBV-MC algorithm not only solves the problem of being unable to be directly used in the MC algo-rithm due to the irregularity of meteorological data,but also effectively reduces the number of triangles required to draw contour surfaces while ensuring data authenticity and reconstruction efficiency,and improves reconstruction speed.Compared with the MC algorithm,the reconstruc-tion efficiency of NBV-MC algorithm has increased by more than 77.70%,which is conducive to real-time scene interaction and facilitates me-teorological researchers to directly analyze radar data.
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