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Chen Weitao Xianju Qin Xuwen (10 results)
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Condition: As New. Unread book in perfect condition.
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. The main research subjects of this book include lithology and mineral abundance. This book focuses on the following five aspects: 1. Construction of geology remote sensing datasets from multi-level (pixel-level, scene-level, semantic segmentation-level, prior knowledge-assisted, transfer learning dataset), which are the basis of geology interpretation based on deep learning. 2. Research on lithology scene classification based on deep learning, prior knowledge, and remote sensing. 3. Research on lithology semantic segmentation based on deep learning and remote sensing. 4. Research on lithology classification based on transfer learning and remote sensing. 5. Research on inversion of mineral abundance based on the sparse unmixing theory and hyperspectral remote sensing. The book is intended for undergraduate and graduate students who are interested in geology, remote sensing, and artificial intelligence. It is also used as a reference book for scientific and technological personnel of geological exploration.
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Remote Sensing Intelligent Interpretation for Geology: From Perspective of Geological Exploration
Published by Springer-Nature New York Inc, 2024
ISBN 10: 9819989965 ISBN 13: 9789819989966
Language: English
Hardcover. Condition: Brand New. 246 pages. 9.25x6.10x0.71 inches. In Stock.
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Condition: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Remote Sensing Intelligent Interpretation for Geology
Published by Springer Nature Singapore, 2024
ISBN 10: 9819989965 ISBN 13: 9789819989966
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents interpretable intelligence interpretation theory on remote sensing geologyConstructs geological remote sensing datasets from multi-level as a basis for intelligent interpretationPresents novel deep learning, prior knowledge, and tr.
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Condition: New. Print on Demand pp. 248.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Condition: New. PRINT ON DEMAND pp. 248.
