| 刘春,万红,李巍岳,胡敏,吴杭彬.基于无人机影像的大型滑坡区域精细地形构建研究[J].井冈山大学自然版,2015,(1):1-7 |
| 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 |
| 投稿时间：2014-10-03 修订日期：2014-12-15 |
| DOI：10.3969/j.issn.1674-8085.2015.01.001 |
| 中文关键词: 滑坡 无人机 空中三角测量 影像匹配 DOM DEM |
| 英文关键词: landslide UAV aerial adjustment image matching DOM DEM |
| 基金项目:国家重点基础研究发展计划(973计划)项目(2013CB733204) |
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| 中文摘要: |
| 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。 |
| 英文摘要: |
| 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. |
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