Isbn: 9789811937385 - remote sensing intelligent interpretation for mine geological environment: from land use and land cover perspective (11 risultati)

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

  • Lingua: Inglese

    Editore: Springer Verlag, Singapore, Singapore, 2022

    9811937389 / 9789811937385

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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 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.

  • Lingua: Inglese

    Editore: Springer, 2022

    9811937389 / 9789811937385

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

  • Lingua: Inglese

    Editore: Springer, 2022

    9811937389 / 9789811937385

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    Buch. 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 on 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.

  • Lingua: Inglese

    Editore: Springer, 2022

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    Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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  • Lingua: Inglese

    Editore: Springer, Berlin|Springer Nature Singapore|Springer, 2022

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    Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 mult.

  • Lingua: Inglese

    Editore: Springer Nature Singapore Aug 2022, 2022

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    Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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    Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 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. 260 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, Springer Aug 2022, 2022

    9811937389 / 9789811937385

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    Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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    Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Preface.-Mine geological environment: An overview.-Multimodal remote sensing science and technology.-Deep learning technology for remote sensing intelligent interpretation.-Remote sensing interpretation signs of mine land occupation type.- Mine remote sensing dataset construction for multi-level tasks.- Mine target detection by remote sensing and deep learning.- Mine remote sensing scene classification by deep learning.- Mine land occupation classification based on machine learning and remote sensing images.- Mine land occupation classification based on deep learning and remote sensing images.- Concluding remarks.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 260 pp. Englisch.

  • Lingua: Inglese

    Editore: Springer, 2022

    9811937389 / 9789811937385

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  • Lingua: Inglese

    Editore: Springer, 2022

    9811937389 / 9789811937385

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