Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloud
In order to quantitatively obtain the characteristic parameters of complex geomorphological structures, high precision and high resolution topographic and geomorphological data are required.In the detection of complex geomorphic features, UAV aerial survey combined with imaging point cloud can accom...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Department of Bulletin of Geological Science and Technology
2021-11-01
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| Series: | 地质科技通报 |
| Subjects: | |
| Online Access: | https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2021.0628 |
| _version_ | 1797277526263857152 |
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| author | Sha Gao Xiping Yuan Shu Gan Minglong Yang Lin Hu Weidong Luo |
| author_facet | Sha Gao Xiping Yuan Shu Gan Minglong Yang Lin Hu Weidong Luo |
| author_sort | Sha Gao |
| collection | DOAJ |
| description | In order to quantitatively obtain the characteristic parameters of complex geomorphological structures, high precision and high resolution topographic and geomorphological data are required.In the detection of complex geomorphic features, UAV aerial survey combined with imaging point cloud can accomplish the task of spatial detection of complex geomorphic features quickly, efficiently, safely and accurately.In this study, the UAV measurement technology is used to obtain high-resolution geomorphological image data, construct a realistic 3D scene model and analyse the geomorphological features of the typical local scenes of the ring-shaped landform at the southern edge of Lufeng Dinosaur Valley.The experimental results show that: ①The DSM data obtained based on the UAV imaging point cloud can accurately express the real geomorphological features of the study area by filtering, extracting thinning, classifying and other data processing to obtain the ground points and constructing 0.2 m resolution DEM data by using the progressive encrypted triangle network method.②By constructing 7 typical elevation profiles of the circular scene "inner-middle-outer", the comparative analysis confirms that the topography of the study area is characterized by the 0 profile line as the main highland ridgeline, showing a circular "basin rim" pattern, with gradually decreasing elevation on the inner and outer sides, and the elevation of the outer profile of the "basin rim" changes dramatically, and the topography is more complex than that of the inner landscape.③In order to further detect and extract the information of micro-morphological features, the accurate DEM data constructed by the principle of UAV imaging combined with the realistic 3D model of the survey area, quantitatively extracted the slope, slop direction, relative height difference, contour, ridge line valley line and other related parameters of the area for accurate quantitative measurement and analysis and discussion.④ Using the multi-view visual interpretation of the three-dimensional 3D model and the analysis of typical scenes, micro-geomorphic features such as the development of washouts in the survey area and the nodal laminated surface of the geological body can be clearly identified.Through the above experimental research on geomorphological 3D scene detection, it is easy to find that the use of realistic 3D models can quickly and accurately present the geomorphological features of the survey area, and the comprehensive analysis of imaging point cloud data can quantitatively and semi-quantitatively reveal regional geological structure information.Overall, the UAV measurement technology and imaging point cloud 3D product application in geological survey has practical significance and unique technical advantages. |
| first_indexed | 2024-03-07T15:49:41Z |
| format | Article |
| id | doaj.art-c0fc8cb75ece422ca5acc53f00fd0fd1 |
| institution | Directory Open Access Journal |
| issn | 2096-8523 |
| language | zho |
| last_indexed | 2024-03-07T15:49:41Z |
| publishDate | 2021-11-01 |
| publisher | Editorial Department of Bulletin of Geological Science and Technology |
| record_format | Article |
| series | 地质科技通报 |
| spelling | doaj.art-c0fc8cb75ece422ca5acc53f00fd0fd12024-03-05T03:03:25ZzhoEditorial Department of Bulletin of Geological Science and Technology地质科技通报2096-85232021-11-0140628329210.19509/j.cnki.dzkq.2021.0628dzkjtb-40-6-283Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloudSha GaoXiping Yuan0Shu Gan1Minglong Yang2Lin HuWeidong LuoApplication Engineering Research Center of Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas Set by Universities in Yunnan Province, Kunming 650093, ChinaApplication Engineering Research Center of Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas Set by Universities in Yunnan Province, Kunming 650093, ChinaApplication Engineering Research Center of Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas Set by Universities in Yunnan Province, Kunming 650093, ChinaIn order to quantitatively obtain the characteristic parameters of complex geomorphological structures, high precision and high resolution topographic and geomorphological data are required.In the detection of complex geomorphic features, UAV aerial survey combined with imaging point cloud can accomplish the task of spatial detection of complex geomorphic features quickly, efficiently, safely and accurately.In this study, the UAV measurement technology is used to obtain high-resolution geomorphological image data, construct a realistic 3D scene model and analyse the geomorphological features of the typical local scenes of the ring-shaped landform at the southern edge of Lufeng Dinosaur Valley.The experimental results show that: ①The DSM data obtained based on the UAV imaging point cloud can accurately express the real geomorphological features of the study area by filtering, extracting thinning, classifying and other data processing to obtain the ground points and constructing 0.2 m resolution DEM data by using the progressive encrypted triangle network method.②By constructing 7 typical elevation profiles of the circular scene "inner-middle-outer", the comparative analysis confirms that the topography of the study area is characterized by the 0 profile line as the main highland ridgeline, showing a circular "basin rim" pattern, with gradually decreasing elevation on the inner and outer sides, and the elevation of the outer profile of the "basin rim" changes dramatically, and the topography is more complex than that of the inner landscape.③In order to further detect and extract the information of micro-morphological features, the accurate DEM data constructed by the principle of UAV imaging combined with the realistic 3D model of the survey area, quantitatively extracted the slope, slop direction, relative height difference, contour, ridge line valley line and other related parameters of the area for accurate quantitative measurement and analysis and discussion.④ Using the multi-view visual interpretation of the three-dimensional 3D model and the analysis of typical scenes, micro-geomorphic features such as the development of washouts in the survey area and the nodal laminated surface of the geological body can be clearly identified.Through the above experimental research on geomorphological 3D scene detection, it is easy to find that the use of realistic 3D models can quickly and accurately present the geomorphological features of the survey area, and the comprehensive analysis of imaging point cloud data can quantitatively and semi-quantitatively reveal regional geological structure information.Overall, the UAV measurement technology and imaging point cloud 3D product application in geological survey has practical significance and unique technical advantages.https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2021.0628uav3d modeldsmdemgeomorphological analysis |
| spellingShingle | Sha Gao Xiping Yuan Shu Gan Minglong Yang Lin Hu Weidong Luo Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloud 地质科技通报 uav 3d model dsm dem geomorphological analysis |
| title | Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloud |
| title_full | Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloud |
| title_fullStr | Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloud |
| title_full_unstemmed | Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloud |
| title_short | Experimental analysis of spatial feature detection of the ring geomorphology at the south edge of Lufeng Dinosaur Valley based on UAV imaging point cloud |
| title_sort | experimental analysis of spatial feature detection of the ring geomorphology at the south edge of lufeng dinosaur valley based on uav imaging point cloud |
| topic | uav 3d model dsm dem geomorphological analysis |
| url | https://dzkjqb.cug.edu.cn/en/article/doi/10.19509/j.cnki.dzkq.2021.0628 |
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