摘要
传统高危边坡地质灾害特征识别方法直接对样本数据进行特征提取,未对无人机倾斜摄影测量数据进行预处理,导致传统方法识别准确性差。本文提出基于无人机倾斜摄影测量的高危边坡地质灾害特征识别方法。对无人机倾斜摄影测量数据进行预处理,得到标准化数据,并进行数据特征选取,在高危边坡地质灾害特征识别流程中输入所选取的8个用于高危边坡识别的特征变量,从而实现基于无人机倾斜摄影测量的高危边坡地质灾害特征识别。设计对比实验,实验结果表明,该研究方法识别的高危边坡数较准确,有一定的应用价值。
The traditional method of high-risk slope geological hazard feature recognition directly extracts the features of the sample data without preprocessing the UAV oblique photogrammetric data,which results in the low accuracy of the traditional method.A feature recognition method for high-risk slope geological hazards based on UAV oblique photogrammetry is proposed.The oblique photogrammetric data of UAV are preprocessed to get the standardized data,and the data features are selected,in the process of high-risk slope geological hazard feature recognition,eight selected characteristic variables are input to realize high-risk slope geological hazard feature recognition based on UAV oblique photogrammetry.By designing comparative experiment,the experimental results show that this research method is more accurate in identifying the number of high-risk slopes and has a certain application value.
作者
欧泽华
张灿明
OU Zehua;ZHANG Canming(Survey and Monitoring Institute of Hydrogeology and Environmental Geology of Hunan Province,Changsha 410014,China)
出处
《测绘与空间地理信息》
2025年第12期50-52,55,共4页
Geomatics & Spatial Information Technology
基金
湖南省地质院2023年度科研项目——基于新型基础测绘的智慧社区建设关键技术研究(HNGSTP202314)资助。
关键词
无人机倾斜摄影测量
高危边坡
地质灾害特征识别
识别方法
UAV oblique photogrammetry
high-risk slopes
geological hazard identification
identification methods
