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Lu, Z.Y., Jin, X. and Han, C.Y. (2013) 3D Reconstruction of Strong Convective Cell Based on Doppler Radar Base Data. International Conference on Machine Learning and Cybernetics. IEEE, 2, 845-849.

has been cited by the following article:

• TITLE: Using MC Algorithm to Implement 3D Image Reconstruction for Yunnan Weather Radar Data

  AUTHORS: Zhongneng Liu, Zhenzhong Shi, Murong Jiang, Jie Zhang, Liqing Chen, Tian Zhang, Gongqin Liu

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

  JOURNAL NAME: Journal of Computer and Communications, Vol.5 No.5, March 30, 2017

  ABSTRACT: 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.