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 C...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.展开更多
针对近程LFMCW测距雷达中频信号规则区较短导致的中频信号频率估计精度不高的问题,在分析自相关信号特点基础之上,提出基于多段自相关信号及MC算法的频率估计算法。首先,利用自相关函数得到多段自相关信号;然后,通过对多段自相关信号进...针对近程LFMCW测距雷达中频信号规则区较短导致的中频信号频率估计精度不高的问题,在分析自相关信号特点基础之上,提出基于多段自相关信号及MC算法的频率估计算法。首先,利用自相关函数得到多段自相关信号;然后,通过对多段自相关信号进行时域平均,获得平均自相关信号;最后,利用频率估计的MC算法计算平均自相关信号的频率,得到频率估计值。计算验证和实测实验表明,在信噪比为-10-15 d B时所提算法频率估计精度高于MC算法及其现有改进算法,改善了LFMCW雷达的测距精度。展开更多
文摘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.
文摘针对近程LFMCW测距雷达中频信号规则区较短导致的中频信号频率估计精度不高的问题,在分析自相关信号特点基础之上,提出基于多段自相关信号及MC算法的频率估计算法。首先,利用自相关函数得到多段自相关信号;然后,通过对多段自相关信号进行时域平均,获得平均自相关信号;最后,利用频率估计的MC算法计算平均自相关信号的频率,得到频率估计值。计算验证和实测实验表明,在信噪比为-10-15 d B时所提算法频率估计精度高于MC算法及其现有改进算法,改善了LFMCW雷达的测距精度。
