Conventional, manual methods of surveying unstable bedrock promontories on high and steep slopes are very risky and time-consuming due to problems regarding steep terrain and traffic inconvenience. This paper describes an unmanned aerial vehicle (UAV)-based method for the identification of unstable bedrock promontories. The first step is the spatial position identification of bedrock promontories, which is implemented by processing point cloud models with the one-class support vector machine (OC-SVM) and clustering algorithm. The next step is the preliminary stability assessment of bedrock promontories. Kinematic analysis by mapping the orientations of penetrative discontinuities within bedrock promontories is used to evaluate the stability. The applicability of the method is assessed using the point cloud model of the bank slopes of the Lianghekou Hydropower Project. The results show that effective identification, and preliminary stability assessment of bedrock promontories can be carried out using UAV photogrammetry.

由于地形陡峭和交通不便，在高陡坡上测量不稳定基岩海角的传统手动方法非常危险且耗时。本文介绍了一种基于无人机 (UAV) 的不稳定基岩海角识别方法。第一步是基岩海角的空间位置识别，通过一类支持向量机（OC-SVM）和聚类算法处理点云模型来实现。下一步是基岩海角的初步稳定性评估。通过绘制基岩海角内穿透不连续的方向的运动学分析用于评估稳定性。利用两河口水电工程岸坡的点云模型对该方法的适用性进行了评估。结果表明，无人机摄影测量可以对基岩海角进行有效识别和初步稳定性评估。