Chen weitao (73 risultati)
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 187,89
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Hardcover. Condizione: new. Hardcover. 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 geo…logy 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. This book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: 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 o…n 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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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 213,73
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Condizione: New. pp. 248.
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EUR 226,25
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Hardcover. Condizione: new. Hardcover. This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of ta…rget detectionscene classificationsemantic segmentation." Taking Chinas Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation.The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 158,00
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Taschenbuch. Condizione: Neu. Remote Sensing Intelligent Interpretation for Mine Geological Environment | From Land Use and Land Cover Perspective | Weitao Chen (u. a.) | Taschenbuch | xii | Englisch | 2023 | Springer | EAN 9789811937415 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelbe…rg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 167,14
EUR 61,91 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively utilizes the new generation of artificial intelligence and remote sensing science and technology to systematically carry out researches on high-precision recognition, monitoring, analysis, and assessment of geological dis…asters by using different technologies of 'ground, airspace, and space-based systems' and different scales of 'target-semantic-region'. The main contents include:1) Intelligent interpretation theory and methods of geological disasters,2) Intelligent analysis of landslide based on long-term ground monitoring data,3) Intelligent analysis of landslide evolution based on optical satellite remote sensing data, 4) Deep learning-based remote sensing detection of landslide,5) Intelligent assessment methods of landslide susceptibility,6) Intelligent recognition of ground figure based on airspace-based remote sensing data.The book is of interest to graduate student, scientific, and technological personnel who work in the area of geological disasters, natural hazards, remote sensing, and artificial intelligence.
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Lingua: Inglese
Editore: Springer Nature Singapore, Springer Nature Singapore, 2023
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 166,62
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book comprehensively utilizes the new generation of artificial intelligence and remote sensing science and technology to systematically carry out researches on high-precision recognition, monitoring, analysis, and assessment of geological disasters…by using different technologies of 'ground, airspace, and space-based systems' and different scales of 'target-semantic-region'. The main contents include:1) Intelligent interpretation theory and methods of geological disasters,2) Intelligent analysis of landslide based on long-term ground monitoring data,3) Intelligent analysis of landslide evolution based on optical satellite remote sensing data, 4) Deep learning-based remote sensing detection of landslide,5) Intelligent assessment methods of landslide susceptibility,6) Intelligent recognition of ground figure based on airspace-based remote sensing data.The book is of interest to graduate student, scientific, and technological personnel who work in the area of geological disasters, natural hazards, remote sensing, and artificial intelligence.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 167,00
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Taschenbuch. Condizione: Neu. Remote Sensing Intelligent Interpretation for Geology | From Perspective of Geological Exploration | Weitao Chen (u. a.) | Taschenbuch | xi | Englisch | 2025 | Springer | EAN 9789819989997 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]har…tmann[at]springer[dot]com | Anbieter: preigu.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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EUR 245,17
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Condizione: New. pp. 260.
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EUR 246,57
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Condizione: New.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 239,05
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Hardcover. Condizione: Brand New. 245 pages. 9.25x6.10x0.83 inches. In Stock.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 188,90
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing o…n the multi-level task with the system of 'target detection scene classification semantic segmentation.'Taking China's Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation.The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 197,23
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 fol…lowing 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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Da: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, GermaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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EUR 239,90
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Hardcover. Condizione: gut. 2024. Remote Sensing Intelligent Interpretation for Geology: From Perspective of Geological Exploration In deutscher Sprache. pages.
Remote Sensing Intelligent Interpretation for Mine Geological Environment: From Land Use and Land Cover Perspective
Chen, Weitao (Author)/ Li, Xianju (Author)/ Wang, Lizhe (Author)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 280,87
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Hardcover. Condizione: Brand New. 258 pages. 9.25x6.10x0.75 inches. In Stock.
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 281,15
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Hardcover. Condizione: Brand New. 246 pages. 9.25x6.10x0.71 inches. In Stock.
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EUR 273,85
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Hardcover. Condizione: new. Hardcover. 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 geo…logy 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. This book presents the theories and methods for geology intelligent interpretation based on deep learning and remote sensing technologies. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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EUR 290,71
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 73,63
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Hardcover. Condizione: new. Hardcover. With continuous advancements in remote sensing technology and methods over the past few decades, scientists have made significant progress in the field of remote sensing image processing. Modern remote sensing systems, including satellite, airborne, UAV, and ground-based platforms, have bee…n continually evolving in terms of data volume, quality, and variety. These technological advancements have led to higher image resolution, broader coverage, and better data quality. The importance of remote sensing technology is reflected in several areas. Firstly, in environmental monitoring, remote sensing technology can continuously monitor natural resources such as forests, oceans, atmosphere, and glaciers, helping scientists study climate change, deforestation, and ocean pollution. In disaster management, remote sensing images can quickly provide detailed information about affected areas, aiding in rescue and recovery efforts. In urban planning and management, remote sensing data provides valuable information for urban expansion, traffic management, and infrastructure development, contributing to sustainable urban planning. Additionally, remote sensing technology allows farmers and managers to monitor crop growth, soil moisture, and pest infestations, providing a scientific basis for agricultural production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
