An Adaptive Surface Interpolation Filter Using Cloth Simulation and Relief Amplitude for Airborne Laser Scanning Data
An Adaptive Surface Interpolation Filter Using Cloth Simulation and Relief Amplitude for Airborne Laser Scanning Data
复制标题
使用布料模拟和浮雕幅度的自适应表面插值滤波器用于机载激光扫描数据
DOI：
10.3390/rs13152938
复制
发表时间：
2021-08-01
期刊：
影响因子：
5
通讯作者：
Li, Lin
中科院分区：
文献类型：
--
作者：
Li, Feng;Zhu, Haihong;Li, Lin
将点云划分为地面点和非地面点是机载激光扫描（ALS）数据处理的关键步骤。基于插值的滤波算法通常用于ALS点云数据的滤波。然而，大多数传统的基于插值的算法在保留突变地形特征方面表现出缺点，导致这些区域的算法精度较差。为了克服这一缺点，本文提出了一种改进的多层次自适应表面插值滤波器。该方法利用临时数字高程模型（DEM）栅格曲面的三个层次，结合薄板样条（TPS）插值，基于自适应残差阈值将地点与未分类点分离。采用布料模拟算法生成足够有效的初始地面种子，用于构造高质量的地形表面。残差阈值根据被测区域的起伏幅度自适应构建，以捕捉分类过程中复杂的景观特征。来自国际摄影测量与遥感学会（ISPRS）委员会的15个样本用于评估所提出算法的性能。实验结果表明，该方法在平坦地区和陡峭地区均能取得满意的效果。通过与其他方法的比较，该方法在滤波结果方面表现出了优越的性能，且遗漏错误率最低；特别是，该方法保留了陡坡和阶地的不连续地形特征。
Separating point clouds into ground and nonground points is an essential step in the processing of airborne laser scanning (ALS) data for various applications. Interpolation-based filtering algorithms have been commonly used for filtering ALS point cloud data. However, most conventional interpolation-based algorithms have exhibited a drawback in terms of retaining abrupt terrain characteristics, resulting in poor algorithmic precision in these regions. To overcome this drawback, this paper proposes an improved adaptive surface interpolation filter with a multilevel hierarchy by using a cloth simulation and relief amplitude. This method uses three hierarchy levels of provisional digital elevation model (DEM) raster surfaces with thin plate spline (TPS) interpolation to separate ground points from unclassified points based on adaptive residual thresholds. A cloth simulation algorithm is adopted to generate sufficient effective initial ground seeds for constructing topographic surfaces with high quality. Residual thresholds are adaptively constructed by the relief amplitude of the examined area to capture complex landscape characteristics during the classification process. Fifteen samples from the International Society for Photogrammetry and Remote Sensing (ISPRS) commission are used to assess the performance of the proposed algorithm. The experimental results indicate that the proposed method can produce satisfying results in both flat areas and steep areas. In a comparison with other approaches, this method demonstrates its superior performance in terms of filtering results with the lowest omission error rate; in particular, the proposed approach retains discontinuous terrain features with steep slopes and terraces.