Author(s)

Zhongneng Liu¹, Zhenzhong Shi¹, Murong Jiang¹, Jie Zhang², Liqing Chen¹, Tian Zhang¹, Gongqin Liu¹

¹School of Information Science and Engineering, Yunnan University, Kunming, China.
²Yunnan Meteorological Information Center, Kunming, China.

3D image reconstruction for weather radar data can not only help the weatherman to improve the forecast efficiency and accuracy, but also help people to understand the weather conditions easily and quickly. Marching Cubes (MC) algorithm in the surface rendering has more excellent applicability in 3D reconstruction for the slice images; it may shorten the time to find and calculate the isosurface from raw volume data, reflect the shape structure more accurately. In this paper, we discuss a method to reconstruct the 3D weather cloud image by using the proposed Cube Weighting Interpolation (CWI) and MC algorithm. Firstly, we detail the steps of CWI, apply it to project the raw radar data into the cubes and obtain the equally spaced cloud slice images, then employ MC algorithm to draw the isosurface. Some experiments show that our method has a good effect and simple operation, which may provide an intuitive and effective reference for realizing the 3D surface reconstruction and meteorological image stereo visualization.

Weather Radar Data, 3D Reconstruction, MC Algorithm, Cube Weighting Interpolation

Liu, Z. , Shi, Z. , Jiang, M. , Zhang, J. , Chen, L. , Zhang, T. and Liu, G. (2017) Using MC Algorithm to Implement 3D Image Reconstruction for Yunnan Weather Radar Data. Journal of Computer and Communications, 5, 50-61. doi: 10.4236/jcc.2017.55005.