Rapid identification of landslide, collapse and crack based on low-altitude remote sensing image of UAV
文献类型：期刊论文
| 作者 | Lian Xu-gang; Li Zou-jun; Yuan Hong-yan; Liu Ji-bo; Zhang Yan-jun; Liu Xiao-yu; Wu Yan-ru |
| 刊名 | JOURNAL OF MOUNTAIN SCIENCE
 |
| 出版日期 | 2020 |
| 卷号 | 17期号:12页码:2915-2928 |
| ISSN号 | 1672-6316 |
| 关键词 | UAV Low altitude remote sensing image Geological hazards Identification method |
| DOI | 10.1007/s11629-020-6080-9 |
| 英文摘要 | Landslides, collapses and cracks are the main types of geological hazards, which threaten the safety of human life and property at all times. In emergency surveying and mapping, it is time-consuming and laborious to use the method of field artificial investigation and recognition and using satellite image to identify ground hazards, there are some problems, such as time lag, low resolution, and difficult to select the map on demand. In this paper, a 10 cm per pixel resolution photogrammetry of a geological hazard -prone area of Taohuagou, Shanxi Province, China is carried out by DJ 4 UAV. The digital orthophoto model (DOM), digital surface model (DSM) and three-dimensional point cloud model (3 DPCM) are generated in this region. The method of visual interpretation of cracks based on DOM (as main) -3DPCM (as auxiliary) and landslide and collapse based on 3DPCM (as main) - DOM and DSM (as auxiliary) are proposed. Based on the low altitude remote sensing image of UAV, the shape characteristics, geological characteristics and distribution of the identified hazards are analyzed. The results show that using UAV low altitude remote sensing image, the method of combination of main and auxiliary data can quickly and accurately identify landslide, collapse and crack, the accuracy of crack identification is 93%, and the accuracy of landslide and collapse identification is 100%. It mainly occurs in silty clay and mudstone geology and is greatly affected by slope foot excavation. This study can play a great role in the recognition of sudden hazards by low altitude remote sensing images of UAV. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.imde.ac.cn/handle/131551/57070]  |
| 专题 | Journal of Mountain Science_Journal of Mountain Science-2020_Vol17 No.12 |
| 推荐引用方式 GB/T 7714 | Lian Xu-gang,Li Zou-jun,Yuan Hong-yan,et al. Rapid identification of landslide, collapse and crack based on low-altitude remote sensing image of UAV[J]. JOURNAL OF MOUNTAIN SCIENCE,2020,17(12):2915-2928. |
| APA | Lian Xu-gang.,Li Zou-jun.,Yuan Hong-yan.,Liu Ji-bo.,Zhang Yan-jun.,...&Wu Yan-ru.(2020).Rapid identification of landslide, collapse and crack based on low-altitude remote sensing image of UAV.JOURNAL OF MOUNTAIN SCIENCE,17(12),2915-2928. |
| MLA | Lian Xu-gang,et al."Rapid identification of landslide, collapse and crack based on low-altitude remote sensing image of UAV".JOURNAL OF MOUNTAIN SCIENCE 17.12(2020):2915-2928. |
入库方式： OAI收割
来源：成都山地灾害与环境研究所
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