In this paper,aiming at the geological disasters in small-scale mountainous areas,such as landslides and collapses,a set of refined hidden danger identification method based on small UAV photogrammetry is proposed.Firstly,carry out at least two drone photogrammetry operations for the work area,and obtain refined results such as realistic 3D models,digital orthophoto images(DOM),and digital surface models(DSM)after processing.Secondly,the main focus is on detecting changes in DOM and DSM in two phases to achieve disaster body recognition.Once again,summarize the common characteristics of disaster bodies and establish identification indicators for typical disasters.Then,based on the identification markers,the three-dimensional visual interpretation method is mainly used to identify the pregnant body.Finally,identify or eliminate potential hazards through ground inspections.Applying this method to the left bank slope area of the Xietan River in Zigui,the head of the Three Gorges Reservoir,and 10 different types of hidden dangers are identified,which proves the feasibility of the method.
关键词
山区地质灾害/隐患识别/孕灾特征/无人机/变化检测
Key words
geological disasters in mountainous areas/identification of hidden dangers/characteristics of pregnancy disaster/unmanned aerial vehicle/change detection
维普
万方数据