世界核地质科学2024，Vol.41Issue(3)：560-572,13.DOI:10.3969/j.issn.1672-0636.2024.03.013
无人机高光谱岩性和矿物识别技术研究
Study on lithologic character and mineral identification technology based on UAV hyperspectral image
摘要
Abstract
The unmanned aerial vehicle(UAV)hyperspectral remote sensing technology has achieved rapid development in geological exploration due to its versatility and flexibility.In this paper,The UAV was equipped with a full-spectrum hyperspectral imager(HD_SAVI)to capture hyperspectral image data,The image reached a spatial resolution up to 0.2 meters and was radiometrically corrected using the empirical linear method with the standard reflectance material deployed in the survey area.The corrected hyperspectral image was highly agree with ground-measured spectra and the deviations of typical feature absorption wavelength within one pixel.Lithological sample spectra were collected to set the knowledge base for the rock type identification by deep learning algorithms.Mineral identification was performed using a standard mineral spectral library,and structural identification was carried out using edge detection operators.These was followed by a comparative analysis with results from CASI/SASI airborne hyperspectral geological mapping in the same region.The results indicated that the minerals extracted from both hyperspectral datasets show a high level of consistency in spatial distribution.The low-altitude hyperspectral imagery captured by the UAV system has a higher spatial resolution,allowing for the identification of a larger scale mapping of rock types and minerals.The comparison of lithology identification results with large-scaled geological maps shows that the spatial distribution of lithology is basically consistent,and the boundaries of pluton was relatively clearer.Therefore,unmanned aerial vehicle hyperspectral remote sensing technology can meet the needs of geological prospection on areas of depopulation and inaccessiable transportation,and the large-scaled geological mapping in key areas or their pepherical areas.关键词
全谱段高光谱成像仪/经验线性法/岩性样本/深度学习/大比例尺地质填图Key words
full-spectrum hyperspectral imager/empirical linear method/rock type samples/edge detection operator/large-scaled geological mapping分类
信息技术与安全科学引用本文复制引用
刘洪成,叶发旺,韩晓青,谭宏婕,鲁纳川,张川..无人机高光谱岩性和矿物识别技术研究[J].世界核地质科学,2024,41(3):560-572,13.基金项目
中核集团集中研发项目"第四代铀矿勘查关键技术研究与示范"(第一阶段)项目:"新型关键勘查技术装备研制"(编号:遥SD03-03)资助 Supported by China National Nuclear Corporation(No.遥SD03-03) （第一阶段）
