摘要
综合使用多种数据分析软件,对无人机倾斜摄影序列数据三维建模算法进行优化设计,以提升三维建模精度,且对无人机倾斜摄影数据与分布式地质应力探头数据进行数据融合,最终形成基于地理坐标阵列的逐点地质灾害风险评估。最后使用Matlab仿真环境对该算法进行测试,发现该算法对地质滑坡灾害的预测敏感性优于其他灾害预测结果。
Using a variety of data analysis software,the 3D modeling algorithm of UAV tilt photography sequence data is optimized to improve the accuracy of 3D modeling,and the UAV tilt photography data and distributed geological stress probe data are fused to form a point-to-point geological disaster risk assessment based on geographic coordinate array.Using MATLAB simulation environment to test the algorithm,it is found that the sensitivity of the algorithm to geological landslide disaster prediction is better than other disaster prediction results.
作者
詹美斌
ZHAN Meibin(The Seventh Geological Brigade of Geological Bureau of Guangdong Province,Huizhou 516008,China)
出处
《测绘与空间地理信息》
2022年第3期221-224,共4页
Geomatics & Spatial Information Technology
关键词
无人机
倾斜摄影
地质灾害
三维建模
地质滑坡
UAV
oblique photography
geological disasters
three dimensional modeling
geological landslide