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English(EN) Minerals in the Wild: A Hyperspectral-XRF Dataset for Elemental Composition Estimation

发布新数据集“野外矿物”，用于矿物表征

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员发布了“野外矿物”（Minerals in the Wild），这是一个旨在利用高光谱成像和X射线荧光技术推进矿物表征的新数据集。该数据集包含来自欧洲的1100多块岩石样本，并附有相应的高光谱和元素成分数据。该资源旨在解决用于开发和评估基于高光谱成像的矿物识别方法的标记数据不足的问题。 AI

排序理由 该集群描述了一个用于研究目的的新数据集的发布，该数据集在arXiv论文中有详细介绍。[lever_c_demoted from research: ic=2 ai=0.4]

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发布新数据集“野外矿物”，用于矿物表征

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该集群描述了一个用于研究目的的新数据集的发布，该数据集在arXiv论文中有详细介绍。[lever_c_demoted from research: ic=2 ai=0.4]
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报道来源 [2]

  1. arXiv cs.LG TIER_1 English(EN) · Eleftheria Tetoula-Tsonga (Institute of Communication and Computer Systems, Athens, Greece), George Arvanitakis (Geonova, Athens, Greece), Theodoros Giannakas (Institute of Communication and Computer Systems, Athens, Greece) ·

    野外矿物：用于元素成分估算的Hyperspectral-XRF数据集

    arXiv:2608.30537v1 Announce Type: cross Abstract: Rapid mineral characterization is essential for applications ranging from mineral exploration to industrial ore processing. To this end, Hyperspectral Imaging (HSI) has emerged as a promising sensing modality thanks to its fine sp…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    野外矿物：用于元素成分估算的Hyperspectral-XRF数据集

    Rapid mineral characterization is essential for applications ranging from mineral exploration to industrial ore processing. To this end, Hyperspectral Imaging (HSI) has emerged as a promising sensing modality thanks to its fine spectral resolution, enabling mineral discrimination…

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