Super-resolution imaging for understanding hierarchical structures produced by water-rock reactions and mass transfer
Project/Area Number |
18K18778
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Research Category |
Grant-in-Aid for Challenging Research (Exploratory)
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Allocation Type | Multi-year Fund |
Review Section |
Medium-sized Section 17:Earth and planetary science and related fields
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Research Institution | Tohoku University |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
大森 敏明 神戸大学, 工学研究科, 准教授 (10391898)
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Project Period (FY) |
2018-06-29 – 2020-03-31
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Project Status |
Completed (Fiscal Year 2019)
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Budget Amount *help |
¥6,240,000 (Direct Cost: ¥4,800,000、Indirect Cost: ¥1,440,000)
Fiscal Year 2019: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2018: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
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Keywords | X線CT / スパース超解像 / 掘削コア / 岩石組織 / 蛇紋岩化作用 / オマーン掘削プロジェクト / 岩石ー水相互作用 / 蛇紋岩 / マグネタイト / 段階的超解像 / 岩石―水相互作用 / オマーンオフィオライト / 機械学習 / 超解像 / 水熱実験 |
Outline of Final Research Achievements |
bbbX-ray tomography (CT) is a non-destructive method for investigating three-dimensional structures. In recent years, this method has been widely applied to rock drill core samples. However, when imaging a wide area, there is a problem that the resolution is not enough for analyzing microstructure of rocks. In this research, I challenged to develop a new method of decoding rock textures that connects micro and macro, based on "sparse super-resolution technology". The analyzed sample was a serpentinized peridotite taken from the Oman Drilling Project, and the same part of the rock core was imaged at different resolutions. By sparse super-resolution, a small number of characteristic (sparse) basis images were extracted, and high-performance super-resolution was successful compared to conventional interpolation methods. Furthermore, it was found that stepwise super-resolution is effective when there is a large difference in resolution.
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Academic Significance and Societal Importance of the Research Achievements |
地球内部では、鉱物からプレートまで様々なスケールの現象が連動して起こっている。近年、分析・解析装置は飛躍的に向上たものの、異なるスケールの間を結びつけることは未だにできていない。本研究では、X線CTという岩石・地質試料の普遍的に使われる分析方法に、スパース超解像という機械学習技術の1つを適用して岩石組織解読の方法論を提案したものであり、この「スケールの壁」を打破すること第一歩になったと考えられる。
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Report
(3 results)
Research Products
(36 results)
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[Presentation] Hydrothermal Alteration of the Crust-Mantle Transition and Upper Mantle in the Samail Ophiolite: Insights from Holes CM1A and CM2B of the Oman Drilling Project2018
Author(s)
Frueh-Green, G. L., Grabowska, M., Oyanagi, R., Kimura, K., Klein, F., Okamoto, A., Morishita, T., Warsi, N., Tamura, A., Teagle, D.A.H., Takazawa, E., Coogan, J.A.., Kelemen, P.B., Matter, J.M., the OmanDP Phase 2 Science Party
Organizer
American Geophysics Union, Fall Meeting 2018
Related Report
Int'l Joint Research
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