This study examines three sites in Alaska with unstable rock slopes that were surveyed using both terrestrial laser scanning (TLS) and structure‐from‐motion (SfM) techniques. The datasets were acquired simultaneously and linked to a rigorous survey control network. An accuracy evaluation of the SfM‐derived surface models was performed using the TLS data and numerous reflectorless total station observations collected across the rock slopes. A quality evaluation was conducted to examine differences in point density, model completeness and distributions of morphological properties between the SfM and TLS datasets. The results indicate that SfM is a viable option for unstable rock‐slope assessment when a sufficient number of images with adequate overlap are acquired and the reconstruction is tied to a survey control network. The best results, in terms of accuracy and completeness, were achieved when combining both unmanned aerial vehicle (UAV) and terrestrial imagery for the SfM reconstruction. However, issues such as over‐smoothing and geometric inconsistencies bring into question the suitability of SfM for the detection of small changes over time.

中文翻译：

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运动对岩石边坡评估的适用性

这项研究检查了阿拉斯加三个不稳定岩质边坡的站点，这些站点均使用地面激光扫描（TLS）和动静结构（SfM）技术进行了调查。同时获取数据集并将其链接到严格的测量控制网络。使用TLS数据和在整个岩石斜坡上收集的大量无反射全站仪观测值，对SfM衍生的地面模型进行了准确性评估。进行了质量评估，以检查SfM和TLS数据集之间的点密度，模型完整性和形态特性分布的差异。结果表明，当获取足够数量的具有足够重叠的图像并将重建与测量控制网络联系在一起时，SfM是不稳定岩质边坡评估的可行选择。最好的结果 结合无人机和地面图像进行SfM重建，在准确性和完整性方面都达到了很高的水平。但是，过度平滑和几何形状不一致等问题使SfM是否适合检测随时间变化的细小问题。