Geological information extraction based on remote sensing of unmanned aerial vehicle: Exemplified by Liujiang Basin
LIAN Huiqing1(), MENG Lu1(), HAN Ruigang1, YANG Yi1, YU Biao2
1. School of Safety Engineering, North China University of Science and Technology, Langfang 065201, China 2. School of Water Resources and Environment, China University of Geosciences(Beijing), Beijing 100083, China
In order to solve the problem that the traditional geological survey has a large workload and low efficiency and that it is impossible to extract information from high slope geological points, the authors chose the Liujiang Basin in Qinhuangdao City, Hebei Province, as the research object. Oblique photogrammetry technology was used to obtain the image data of the study area. The generated image was used to construct a high-resolution 3D real-world model using the Context Capture software. The 3D model was identified and extracted in the Acute 3D viewer, including the extracted area’s latitude, longitude, and elevation. Several pieces of basic information were extracted, such as the distance between two points, the vertical distance, identification of the fault and calculation of the fault’s strike, tendency, and inclination, identification of the type and nature of the rock, and calculation of data such as perimeters, surface area, and volume value of the exposed rock. The results show that the extraction results are in good agreement with field measurements and can achieve the purpose of identifying geological phenomena and extracting geological quantitative information. It is shown that the method adopted in this paper has practical significance for geological information identification and extraction of UAV remote sensing technology.
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LIAN Huiqing, MENG Lu, HAN Ruigang, YANG Yi, YU Biao. Geological information extraction based on remote sensing of unmanned aerial vehicle: Exemplified by Liujiang Basin. Remote Sensing for Land & Resources, 2020, 32(3): 136-142.
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2020, Vol. 32 
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