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An Accuracy Assessment of Derived Digital Elevation Models from Terrestrial Laser Scanning in a Sub-Tropical Forested Environment

机译:在亚热带森林环境中从地面激光扫描获得的数字高程模型的精度评估

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Forest structure attributes produced from terrestrial laser scanning (TLS) rely on normalisation of the point cloud values from sensor coordinates to height above ground. One method to do this is through the derivation of an accurate and repeatable digital elevation model (DEM) from the TLS point cloud that is used to adjust the height. The primary aim of this paper was to test a number of TLS scan configurations, filtering options and output DEM grid resolutions (from 0.02 m to 1.0 m) to define a best practice method for DEM generation in sub-tropical forest environments. The generated DEMs were compared to both total station (TS) spot heights and a 1-m DEM generated from airborne laser scanning (ALS) to assess accuracy. The comparison to TS spot heights found that a DEM produced using the minimum elevation (minimum Z value) from a point cloud derived from a single scan had mean errors >1 m for DEM grid resolutions <0.2 m at a 25-m plot radius. At a 1-m grid resolution, the mean error was 0.19 m. The addition of a filtering approach that combined a median filter with a progressive morphological filter and a global percentile filter was able to reduce mean error of the 0.02-m grid resolution DEM to 0.31 m at a 25-m plot radius using all returns. Using multiple scan positions to derive the DEM reduced the mean error for all DEM methods. Our results suggest that a simple minimum Z filtering DEM method using a single scan at the grid resolution of 1 m can produce mean errors <0.2 m, but for a small grid resolution, such as 0.02 m, a more complex filtering approach and multiple scan positions are required to reduced mean errors. The additional validation data provided by the 1-m ALS DEM showed that when using the combined filtering method on a point cloud derived from a single scan at the plot centre, errors between 0.1 and 0.5 m occurred in the TLS DEM for all tested grid resolutions at a plot radius of 25 m. These findings present a protocol for DEM production from TLS data at a range of grid resolutions and provide an overview of factors affecting DEMs produced from single and multiple TLS scan positions.
机译:陆地激光扫描(TLS)产生的森林结构属性取决于从传感器坐标到地面高度的点云值的归一化。一种实现此目的的方法是从TLS点云中得出一个精确且可重复的数字高程模型(DEM),该模型用于调整高度。本文的主要目的是测试许多TLS扫描配置,过滤选项和输出DEM网格分辨率(从0.02 m到1.0 m),以定义在亚热带森林环境中生成DEM的最佳实践方法。将生成的DEM与全站仪(TS)的光点高度以及从机载激光扫描(ALS)生成的1-m DEM进行比较,以评估准确性。与TS光点高度的比较发现,对于25米的图半径,DEM网格分辨率<0.2 m,使用单次扫描得出的点云的最小仰角(最小Z值)生成的DEM的平均误差> 1 m。在1 m的网格分辨率下,平均误差为0.19 m。增加了将中值滤波器与渐进形态滤波器和全局百分位数滤波器相结合的滤波方法,能够使用所有返回值,将25米绘图半径下0.02米网格分辨率DEM的平均误差降至0.31 m。使用多个扫描位置导出DEM减少了所有DEM方法的平均误差。我们的结果表明,在1 m的网格分辨率下使用单次扫描的简单最小Z滤波DEM方法会产生平均误差<0.2 m,但是对于较小的网格分辨率(例如0.02 m),则采用更复杂的滤波方法和多次扫描需要位置以减少平均误差。 1-m ALS DEM提供的其他验证数据表明,在对源自绘图中心单次扫描的点云上使用组合滤波方法时,对于所有测试的网格分辨率,TLS DEM都会发生0.1到0.5 m的误差地块半径为25 m时。这些发现提供了在一定范围的网格分辨率下从TLS数据生成DEM的协议,并概述了影响从单个和多个TLS扫描位置生成的DEM的因素。

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