会议论文详细信息
35th International Symposium on Remote Sensing of Environment
Aerial visible-thermal infrared hyperspectral feature extraction technology and its application to object identification
地球科学;生态环境科学
Zhang, Jie-Lin^1 ; Wang, Jun-Hu^1 ; Zhou, Mi^1 ; Huang, Yan-Ju^1 ; Wu, Ding^1
Beijing Research Institute of Uranium Geology, National Key Laboratory of Remote Sensing Technology, Beijing, China^1
关键词: Extraction technology;    Geological information;    Hexavalent uranium;    Object identification;    Radioactive intensity;    Spectral characteristics;    Uranium mineralization;    Uranium prospecting;   
Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/17/1/012184/pdf
DOI  :  10.1088/1755-1315/17/1/012184
学科分类:环境科学(综合)
来源: IOP
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【 摘 要 】

Based on aerial visible-thermal infrared hyperspectral imaging system (CASI/SASI/TASI) data, field spectrometer data and multi-source geological information, this paper utilizes the hyperspectral data processing and feature extraction technology to identify uranium mineralization factors, the spectral features of typical tetravalent, hexavalent uranium minerals and mineralization factors are established, and hyperspectral logging technology for drill cores and trench also are developed, the relationships between radioactive intensity and spectral characteristics are built. Above methods have been applied to characterize uranium mineralization setting of granite-type and sandstone-type uranium deposits in south and northwest China, the successful outcomes of uranium prospecting have been achieved.

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