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portada Deep Learning for Multi-Sensor Earth Observation
Type
Physical Book
Publisher
Author
Language
English
Pages
350
Format
Paperback
ISBN13
9780443264849
Edition No.
1

Deep Learning for Multi-Sensor Earth Observation

Saha Sudipan (Author) · Elsevier · Paperback

Deep Learning for Multi-Sensor Earth Observation - Saha Sudipan

New Book Imported to Netherlands
Delivery: 17 Sep - 22 Sep Shipping: 10 to 12 business days.
€ 142,17
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Synopsis "Deep Learning for Multi-Sensor Earth Observation"

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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