基于无人机航摄的地质踏勘及风险评估

邱焕翔 ,  翟虎 ,  王冀鹏 ,  葛尚奇 ,  吴林

科学技术与工程 ›› 2024, Vol. 24 ›› Issue (18) :7905-7912

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科学技术与工程 ›› 2024, Vol. 24 ›› Issue (18) :7905-7912 DOI: 10.12404/j.issn.1671-1815.2305893
航空、航天

基于无人机航摄的地质踏勘及风险评估

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Geological Survey and Risk Assessment Based on UAV Photogrammetry

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摘要

工程选址前进行的地质踏勘是保证大型基建工程顺利开展的重要环节。为探索成本低、易于操作的地质踏勘技术,以中南地区一矿区为例,利用无人机搭载高分辨率相机以“高密度网格成像”模式获取影像,并实现研究区域的三维重建;通过点云模型生成数字高程模型后提取相关地质信息,进行潜在地质风险的初步判定。结果表明基于无人机航摄进行地质踏勘效率相较于人工有了显著提升,三维模型清晰,很好地反映了试验区域实际状态。“高密度网格成像”模式操作方便,三维模型、点云模型与数字高程模型的结合分析结果与现实吻合良好,研究结果可为地质踏勘工作提供新思路。

Abstract

Geological surveying prior to site selection is a crucial component to ensure the smooth implementation of large-scale infrastructure projects. To explore cost-effective and practical geological surveying techniques, a mining area in South Central China was taken as an example and unmanned aerial vehicles (UAVs) equipped with high-resolution cameras and with high-density grid imaging mode were utilized to capture images and achieve 3D reconstruction of the study area. After generating a digital elevation model from the point cloud model, relevant geological information was extracted to conduct preliminary assessment of potential geological risks. The results indicate that UAV-based aerial survey significantly improves the efficiency of geological surveying compared to manual techniques, providing a clear and accurate representation of the actual conditions in the test area. The high-density grid imaging mode proves to be convenient for this kind of missions, and the integrated analysis of 3D models, point cloud models, and DEM (digital elevation models) exhibits a strong correlation with reality. The findings of this study offer novel insights for geological reconnaissance practices.

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邱焕翔, 翟虎, 王冀鹏, 葛尚奇, 吴林. 基于无人机航摄的地质踏勘及风险评估[J]. 科学技术与工程, 2024, 24(18): 7905-7912 DOI:10.12404/j.issn.1671-1815.2305893
QIU Huan-xiang, ZHAI Hu, WANG Ji-peng, GE Shang-qi, WU Lin. Geological Survey and Risk Assessment Based on UAV Photogrammetry[J]. Science Technology and Engineering, 2024, 24(18): 7905-7912 DOI:10.12404/j.issn.1671-1815.2305893

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国家重点研发计划(2021YFE0194300)

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