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Study of Matching the LiDAR Data Set on Overlapping Flightstrips

机译:重叠飞行航班上的LiDAR数据集匹配研究

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The paper describes three kinds of popular matching algorithms of overlapping strips of LiDAR, and introduces the matching algorithm of TerraMatch. The processing of matching overlapping strips can be outlined as the following steps. Firstly, using TerraScan module to preprocess raw LiDAR data of the single flight strip. It can classify low points and ground feature separately for each flight line. Then, read these ground feature points to TerraMatch module. TerraMatch uses these ground feature points to match overlapping laser data. After many times iteration, the iteration continues until roll correction value, pitch correction value and heading correction value and other parameter correction values all are smaller than a preset threshold. The parameters of the last iteration act as optimal parameters. In order to verify the TerraMatch's functions, we used actual data set to assess the experimental result. Lastly, a conclusion is drawn that the algorithm of TerraMatch can effectively reduce or remove the discrepancies of LiDAR data set between overlapping strips and is worthly promoting.
机译:本文介绍了三种常见的LiDAR重叠条匹配算法,并介绍了TerraMatch的匹配算法。匹配重叠条的处理可以概括为以下步骤。首先,使用TerraScan模块预处理单个飞行跑道的原始LiDAR数据。它可以为每条飞行线分别分类低点和地面特征。然后,将这些地面特征点读取到TerraMatch模块。 TerraMatch使用这些地面特征点来匹配重叠的激光数据。在多次迭代之后,迭代继续直到侧倾校正值,俯仰校正值和航向校正值以及其他参数校正值都小于预设阈值为止。最后一次迭代的参数充当最佳参数。为了验证TerraMatch的功能,我们使用实际数据集来评估实验结果。最后得出结论,TerraMatch算法可以有效减少或消除重叠带之间的LiDAR数据集的差异,值得推广。

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