论文标题
带有机载激光雷达数据的新的可解释的DTM生成算法：最终接地连接平稳
A new explainable DTM generation algorithm with airborne LIDAR data: grounds are smoothly connected eventually
论文作者
论文摘要
数字地形模型（DTM）是城市，环境和地球科学各种研究的基本地理空间数据。从此类研究获得的结果的可靠性可能会受到基础DTM的错误和不确定性的重大影响。已经开发了许多算法来减轻DTM的错误和不确定性。但是，大多数算法都涉及棘手的参数选择和使算法的决策规则掩盖的复杂过程，因此通常很难解释和预测所得DTM的错误和不确定性。同样，以前的算法通常会考虑每个点的局部邻域以区分非地面对象，这限制了搜索半径和上下文理解，并且可能会易于错误，尤其是在点密度变化的情况下。这项研究提出了一种开源DTM生成算法，用于空降激光雷达数据，该算法可以考虑到本地社区之外，并且易于解释，可预测和可靠的结果。该算法的关键假设是，地面是平稳连接的，而非地面被带有急剧高度变化的区域所包围。与其他最先进的算法相比，通过平铺评估评估了所提出算法的鲁棒性和独特性。
The digital terrain model (DTM) is fundamental geospatial data for various studies in urban, environmental, and Earth science. The reliability of the results obtained from such studies can be considerably affected by the errors and uncertainties of the underlying DTM. Numerous algorithms have been developed to mitigate the errors and uncertainties of DTM. However, most algorithms involve tricky parameter selection and complicated procedures that make the algorithm's decision rule obscure, so it is often difficult to explain and predict the errors and uncertainties of the resulting DTM. Also, previous algorithms often consider the local neighborhood of each point for distinguishing non-ground objects, which limits both search radius and contextual understanding and can be susceptible to errors particularly if point density varies. This study presents an open-source DTM generation algorithm for airborne LiDAR data that can consider beyond the local neighborhood and whose results are easily explainable, predictable, and reliable. The key assumption of the algorithm is that grounds are smoothly connected while non-grounds are surrounded by areas having sharp elevation changes. The robustness and uniqueness of the proposed algorithm were evaluated in geographically complex environments through tiling evaluation compared to other state-of-the-art algorithms.
