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- 2018
利用波形信息的加权曲面拟合LiDAR点云滤波
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Abstract:
为发挥机载全波形激光探测与测量（light detection and ranging，LiDAR）技术优势，提高数字高程模型（digital elevation model，DEM）生成精度，提出了一种利用波形信息的加权曲面拟合LiDAR点云滤波方法。该方法利用全局收敛LM解算离散点云与波形参数，引入波形信息与抗差估计原理检测异常种子点，依据波形参数对地形曲面进行加权拟合，综合考虑滤波窗口尺寸与曲面拟合中误差影响设置自适应高差阈值。选取中国黑河综合遥感联合实验中的城市区域、耕地区域与山地区域数据进行实验，结果表明，相比传统方法，所提方法的波形分解结果更加可靠，点云滤波精度进一步提高，具备较高实用价值
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