| 引用本文: | 刘琴，李明磊，汪玲，朱岱寅，钱君. 机载气象雷达目标的三维建模方法研究[J]. 雷达科学与技术, 2022, 20(4): 435-441.[点击复制] |
| LIU Qin, LI Minglei, WANG Ling, ZHU Daiyin, QIAN Jun. Research on 3D Modeling of Airborne Weather Radar Target[J]. Radar Science and Technology, 2022, 20(4): 435-441.[点击复制] |
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| 摘要: |
| 三维可视化系统能够为机载气象雷达回波数据分析提供支持。本文以预先提取的气象目标三维点云数据为基础，设计了一种面向机载气象雷达目标的三维建模方法。首先运用α-shape算法提取气象目标的外轮廓点云，并通过主元分析法求取点的法向量，再利用泊松重建算法对具有法向信息的外轮廓点云进行三维表面重建。结果表明，该方法得到的气象目标三维重建结果轮廓清晰，表面细节特征明显，能够反映气象目标的空间结构分布特征。相较于仅使用α-shape算法和移动立方体算法，该方法在重建精度和计算效率方面均有提高。重建模型整体上满足机载气象目标三维建模的要求，可以为未来的机载显控气象信息平台三维可视化提供技术支持。 |
| 关键词: 机载气象雷达 气象目标可视化 三维表面建模 α-shape算法 泊松表面重建 |
| DOI：DOI:10.3969/j.issn.1672-2337.2022.04.012 |
| 分类号:TN959.4 |
| 基金项目:国家自然科学基金（No.41801342）； 工信部民机专项项目（No.MJ-2018-S-28）； 中央高校基本科研业务费（No.3082020NZ2020008） |
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| Research on 3D Modeling of Airborne Weather Radar Target |
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LIU Qin, LI Minglei, WANG Ling, ZHU Daiyin, QIAN Jun
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1. Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;2. AVIC Leihua Electronic Technology Research Institute, Wuxi 214063, China
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| Abstract: |
| The 3D visualization system can provide support for the analysis of airborne weather radar echo data. Based on the pre-extracted 3D point cloud data of the meteorological target, a 3D modeling method for airborne meteorological radar targets is designed in this paper . The method uses an α-shape algorithm to extract the contour points of the meteorological target. We calculate the normal vectors of points through principal component analysis. Then the Poisson reconstruction algorithm is used to reconstruct the surface of the target. The results show that the 3D models of the meteorological target reconstructed by the proposed method have clear outlines and details, which can reflect the spatial structure distribution characteristics of meteorological targets. Compared with using only the α-shape algorithm and marching cubes algorithm, our method can improve the reconstruction accuracy and computational efficiency. On the whole, the reconstructed models can meet the requirements of 3D modeling of airborne meteorological targets, and can provide technical support for 3D visualization of airborne display and control meteorological information platform in the future. |
| Key words: airborne weather radar meteorological target visualization 3D surface reconstruction α-shape algorithm Poisson surface reconstruction |
