基于无人机影像的大型滑坡区域精细地形构建研究

THE RESEARCH ON CONSTRUCTION OF LARGE-SCALE LANDSLIDE PRECISE TERRAIN BASED ON UAV IMAGES

滑坡突发性强、危害大,并且在高原山区,大比例尺DEM难以获取。为此,以西南山区某大型滑坡体为例,利用无人机遥感系统对大型滑坡区域进行高空间、高分辨率的遥感探测,对获得的无人机影像采用灵活的POS辅助空中三角测量进行快速处理,结合高精度物方DEM匹配技术,最终获得大型滑坡区域高精度DOM、DEM地形构建。通过实践,实现以无人机获取的影像为基础,快速构建大型滑坡区域的精细地形,为大型滑坡体的预测、评估提供基础数据和技术保障。

Landslide has great burstiness and damage, and it＇s difficult to obtain large-scale Digital Elevation Model（DEM） in the mountain plateau. This paper uses unmanned aerial vehicle（UAV） remote sensing system to obtain high temporal and spatial resolution remote sensing sounding in study area a large-scale landslide in the hilly area south of China, by flexible pos-support bundle adjustment to deal with UAV images to realize a fast solution, then through the multiple-baseline image matching techniques to generate large-scale Digital Orthophoto Map（DOM） and DEM. The paper realizes large-scale landslide and constructs precise terrain based on UAV images, which provides quantitative data and technical support for landslide forecast and evaluation.