Hokkaido University · Faculty of Engineering / School of Engineering / Institute of Engineering

Research keywordshyperspectral mineral imaging・iron ore grade estimation・convolutional neural networks・arsenic contamination detection・tailings monitoring・DInSAR analysis・regression based mineral composition

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• Iron Ore Grade Estimation Using Visible–Near-Infrared Hyperspectral Imaging and Convolutional Neural Network2026 · IEEE Transactions on Geoscience and Remote Sensing, 64, 1, 13, Institute of Electrical and Electronics Engineers (IEEE), 2026年01月28日,
• Monitoring tailings storage facilities with multi-temporal DInSAR: A systematic review2026 · Science of The Total Environment, 1011, 181161, 181161, Elsevier BV, 2026年01月,
• Exploring hyperspectral imaging and regression-based analysis as an alternative to MLA for mineral composition2026 · International Journal of Mining, Reclamation and Environment, 1, 23, Informa UK Limited, 2026年03月03日,
• Artificial Intelligence-Based Hyperspectral Classification of Rare Earth Element-Related Heavy Mineral Sand2025 · Minerals, 2025年09月25日,

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