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Añadir al carritoTaschenbuch. Condición: 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.
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Publicado por Springer, Springer Nature Singapore, 2024
ISBN 10: 9819958245 ISBN 13: 9789819958245
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Añadir al carritoTaschenbuch. Condición: 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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Publicado por Springer, Berlin, Springer Nature Singapore, Springer, 2024
ISBN 10: 9819958245 ISBN 13: 9789819958245
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 233 pp. Englisch.
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Publicado por Springer, Springer Nature Singapore Nov 2024, 2024
ISBN 10: 9819958245 ISBN 13: 9789819958245
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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 disasters2) Intelligent analysis of landslide based on long-term ground monitoring data3) Intelligent analysis of landslide evolution based on optical satellite remote sensing data4) Deep learning-based remote sensing detection of landslide5) Intelligent assessment methods of landslide susceptibility6) 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.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 248 pp. Englisch.
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