Geological information extraction based on remote sensing of unmanned aerial vehicle: Exemplified by Liujiang Basin

doi:10.6046/gtzyyg.2020.03.18

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Abstract

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.

Keywords oblique photography drone image three-dimensional modeling geological information Liujiang Basin

:	P642
	TP79

Corresponding Authors: MENG Lu E-mail: 2366884370@qq.com;376367920@qq.com

Issue Date: 09 October 2020

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	Huiqing LIAN
	Lu MENG
	Ruigang HAN
	Yi YANG
	Biao YU

Cite this article:

Huiqing LIAN,Lu MENG,Ruigang HAN, et al. Geological information extraction based on remote sensing of unmanned aerial vehicle: Exemplified by Liujiang Basin[J]. Remote Sensing for Land & Resources, 2020, 32(3): 136-142.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020.03.18 OR https://www.gtzyyg.com/EN/Y2020/V32/I3/136

Fig.1 Dajiang Royal Mavic 2pro professional version of the drone

Tab.1 Dajiang Royal Mavic 2pro professional version of the UAV parameters

Tab.2 Observation point drone parameter setting

Fig.2 Generate 3D real-world model flow

Fig.3 3D real-world model of the study area

Fig.4 Schematic diagram of the 3D model of the East Tribe observation point

Tab.3 Coordinate information of each point of the triangular surface

Fig.5 Triangle face diagram

Fig.6 Schematic diagram of the three-dimensional model of the tide tidal observation point

Fig.7 Rock sample

Fig.8 Schematic diagram of rock level

Tab.4 Texture information

Fig.9 Rock information extraction process diagram

Fig.10 Schematic diagram of volume calculation

Tab.5 Exposed rock data

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