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Deep Learning for Multi-Sensor Earth Observation (Paperback)
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443264848 ISBN 13: 9780443264849
Language: English
Paperback. Condition: new. Paperback. Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontiers of remote sensing technology and AI advancements, it covers the potential of fusing data of varying spatial, spectral, and temporal dimensions from both active and passive sensors. This book offers a concise, yet comprehensive, resource, addressing the challenges of data integration and uncertainty quantification from foundational concepts to advanced applications. Case studies illustrate the practicality of deep learning techniques, while cutting-edge approaches such as self-supervised learning, graph neural networks, and foundation models chart a course for future development.Structured for clarity, the book builds upon its own concepts, leading readers through introductory explanations, sensor-specific insights, and ultimately to advanced concepts and specialized applications. By bridging the gap between theory and practice, this volume equips researchers, geoscientists, and enthusiasts with the knowledge to reshape Earth observation through the dynamic lens of deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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US$ 152.58
Convert currencyUS$ 8.67 shipping from United Kingdom to U.S.A.Quantity: 3 available
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Deep Learning for Multi-sensor Earth Observation
Published by Elsevier Science Ltd, 2025
ISBN 10: 0443264848 ISBN 13: 9780443264849
Language: English
US$ 156.47
Convert currencyUS$ 33.34 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 350 pages. 9.00x6.00x8.93 inches. In Stock.
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US$ 181.95
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Deep Learning for Multi-Sensor Earth Observation
Published by Elsevier - Health Sciences Division, 2025
ISBN 10: 0443264848 ISBN 13: 9780443264849
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 171.55
Convert currencyUS$ 22.34 shipping from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 1000.
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Deep Learning for Multi-Sensor Earth Observation (Paperback)
Published by Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443264848 ISBN 13: 9780443264849
Language: English
US$ 164.13
Convert currencyUS$ 49.34 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontiers of remote sensing technology and AI advancements, it covers the potential of fusing data of varying spatial, spectral, and temporal dimensions from both active and passive sensors. This book offers a concise, yet comprehensive, resource, addressing the challenges of data integration and uncertainty quantification from foundational concepts to advanced applications. Case studies illustrate the practicality of deep learning techniques, while cutting-edge approaches such as self-supervised learning, graph neural networks, and foundation models chart a course for future development.Structured for clarity, the book builds upon its own concepts, leading readers through introductory explanations, sensor-specific insights, and ultimately to advanced concepts and specialized applications. By bridging the gap between theory and practice, this volume equips researchers, geoscientists, and enthusiasts with the knowledge to reshape Earth observation through the dynamic lens of deep learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Deep Learning for Multi-Sensor Earth Observation
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
First Edition
US$ 208.91
Convert currencyUS$ 12.18 shipping from Ireland to U.S.A.Quantity: 2 available
Add to basketCondition: New. 2025. 1st Edition. paperback. . . . . .
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Condition: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.
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Deep Learning for Multi-sensor Earth Observation
Published by Elsevier Science Ltd, 2025
ISBN 10: 0443264848 ISBN 13: 9780443264849
Language: English
US$ 233.41
Convert currencyUS$ 33.34 shipping from United Kingdom to U.S.A.Quantity: 2 available
Add to basketPaperback. Condition: Brand New. 350 pages. 9.00x6.00x8.93 inches. In Stock.
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Deep Learning for Multi-Sensor Earth Observation
Published by Elsevier Science Feb 2025, 2025
ISBN 10: 0443264848 ISBN 13: 9780443264849
Language: English
US$ 251.56
Convert currencyUS$ 73.82 shipping from Germany to U.S.A.Quantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware - Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontiers of remote sensing technology and AI advancements, it covers the potential of fusing data of varying spatial, spectral, and temporal dimensions from both active and passive sensors. This book offers a concise, yet comprehensive, resource, addressing the challenges of data integration and uncertainty quantification from foundational concepts to advanced applications. Case studies illustrate the practicality of deep learning techniques, while cutting-edge approaches such as self-supervised learning, graph neural networks, and foundation models chart a course for future development.Structured for clarity, the book builds upon its own concepts, leading readers through introductory explanations, sensor-specific insights, and ultimately to advanced concepts and specialized applications. By bridging the gap between theory and practice, this volume equips researchers, geoscientists, and enthusiasts with the knowledge to reshape Earth observation through the dynamic lens of deep learning.
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US$ 150.25
Convert currencyUS$ 9.28 shipping from Italy to U.S.A.Quantity: Over 20 available
Add to basketCondition: new. Questo è un articolo print on demand.
