Deep Learning for Multi-Sensor Earth Observation
Language: English
Published by Elsevier - Health Sciences Division, 2025
- Softcover
- New

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- Title
- Deep Learning for Multi-Sensor Earth Observation
- Author
- Sudipan Saha
- Publisher
- Elsevier - Health Sciences Division
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback / softback
- Language
- English
- ISBN 10
- 0443264848
- ISBN 13
- 9780443264849
- Item weight
- 1,000 grams
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.
- Addresses the problem of unwieldy datasets from multi-sensor observations, applying Deep Learning to multi-sensor data integration from disparate sources with different resolution and quality
- Provides a thorough foundational reference to Deep Learning applications for handling Earth Observation multi-sensor data across a variety of geosciences
- Includes case studies and real-world data/examples allowing readers to better grasp how to put Deep Learning techniques and methods into practice
"Synopsis" may belong to another edition of this title.
About the Author
Sudipan Saha is currently an Assistant Professor at Yardi School of Artificial Intelligence, Indian Institute of Technology (IIT) Delhi, New Delhi, India. Previously, he worked as a postdoctoral researcher at the Artificial Intelligence for Earth Observation (AI4EO) Lab, Technical University of Munich, Germany (2020-2022). He received a Ph.D. degree in Information and Communication Technologies from the University of Trento and Fondazione Bruno Kessler (FBK), Trento, Italy in 2020, working with Dr. Francesca Bovolo and Prof. Lorenzo Bruzzone. He is the recipient of FBK Best Student Award 2020. Previously, he obtained the M.Tech. degree in Electrical Engineering from IIT Bombay, Mumbai, India in 2014 where he is recipient of Postgraduate Color. He worked as an Engineer with TSMC Limited, Hsinchu, Taiwan, from 2015 to 2016. His research interests are related to multi-temporal and multi-sensor satellite image analysis, uncertainty quantification, deep learning, and climate change.
"About the title" may belong to another edition of this title.
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