Chen weitao (52 risultati)

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

Condizione: New. A brand new book in pristine condition. Showing zero signs of shelf wear, creases, or damage.

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 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. 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.…

Condizione: New. In.

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 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.…

Taschenbuch. Condizione: Neu. Intelligent Interpretation for Geological Disasters | From Space-Air-Ground Integration Perspective | Weitao Chen (u. a.) | Taschenbuch | xii | Englisch | 2024 | Springer | EAN 9789819958245 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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 target 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.…

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 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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]hartmann[at]springer[dot]com | Anbieter: preigu. …

Condizione: New.

Hardcover. Condizione: Brand New. 245 pages. 9.25x6.10x0.83 inches. In Stock.

Condizione: New. 1st ed. 2024 edition NO-PA16APR2015-KAP.

Hardcover. Condizione: gut. 2024. Remote Sensing Intelligent Interpretation for Geology: From Perspective of Geological Exploration In deutscher Sprache. pages.

Hardcover. Condizione: Brand New. 258 pages. 9.25x6.10x0.75 inches. In Stock.

Hardcover. Condizione: Brand New. 246 pages. 9.25x6.10x0.71 inches. In Stock.

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 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. 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.…

paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

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 been 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.…

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 been 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 our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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 been 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 our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Condizione: new. Questo è un articolo print on demand.

Condizione: new. Questo è un articolo print on demand.

Condizione: new. Questo è un articolo print on demand.

Condizione: new. Questo è un articolo print on demand.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 been 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.…