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Using MC Algorithm to Implement 3D Image Reconstruction for Yunnan Weather Radar Data 被引量:1

Using MC Algorithm to Implement 3D Image Reconstruction for Yunnan Weather Radar Data
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摘要 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. 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.
出处 《Journal of Computer and Communications》 2017年第5期50-61,共12页 电脑和通信(英文)
关键词 WEATHER RADAR Data 3D Reconstruction MC Algorithm CUBE Weighting INTERPOLATION Weather Radar Data 3D Reconstruction MC Algorithm Cube Weighting Interpolation
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  • 1沈向洋,王立峰.基于图像的绘制技术综述[J].中国计算机用户,2000(21):27-28. 被引量:1
  • 2肖亚伦,金长江.大气扰动中的飞行原理[M].北京:国防工业出版社,1993.
  • 3Fang M, Doviak R, Albrecht B A. Analytical expressions for Doppler spectra o: scatter from hydrometeors observed: with a vertically directed radar beam[J]. Journal :.1" Atmospheric a:ldOceanic Technology, 2012, 29(4): 500-509.
  • 4Yaroslav O, Felix Y. Turbulence detection by Doppler spectrum shape analysisEC://Proc, of the 5th European Radar Confe- rence, 2008: 268-271.
  • 5Felix Y, Yaroslav O, Vitaly M. Hydrometeor type and turbu- lence intensity recognition with Doppler-polarimetrie radarEC:// Proc. of the 5th European Radar Conference, 2008 : 88 - 91.
  • 6Felix Y, Yaroslav O, Vitaly M. Algorithms for object recogni- tion by weather radar[C://Proc, of the International Radar Symposium, 2008 : 1 - 4.
  • 7Monakov A, Monakov Y. Detection of turbulence with airborne weather radars using space time filtering[J]. IEEE Trans. on Aerospace and Electronic Systems, 2010, 46(4): 2131- 2137.
  • 8Semenova O S, Yanovsky F J. Analysis of meteorological radar signals using LSS-decompositionFC://Proc. of the 9th European Radar Conference, 2012 : 170 - 173.
  • 9Wu Y, Jiang S D, Wei C A. An improved atmospheric turbu lence simulation methodEC://Proc, of the International Con- ference on Pervasive Computing, Signal Processing and Ap plications, 2010:1236 - 1239.
  • 10Ke J, Li Z J, Zhong W K. Design of robust roll angle control system of unmanned aerial vehicles based on atmospheric turbu- lence attenuation[C:// Proc. of the 8th World Congress on In- telligent Control and Automation, 2010: 3746 - 3750.

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