Deep Learning for Multi-Sensor Earth Observation eBook

$39.99

. Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion.

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About this eTextbook

. 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.

Publication details

Author: Sudipan Saha
Publisher: Elsevier (S&T)
eText ISBN: 9780443264856, 0443264856
Print ISBN: 9780443264849, 0443264848

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About this eTextbook

Publication details

Author: Sudipan Saha
Publisher: Elsevier (S&T)
eText ISBN: 9780443264856, 0443264856
Print ISBN: 9780443264849, 0443264848

What you receive

A licensed digital edition of this title, supplied as PDF or EPUB. The format is set by the publisher, so email us the ISBN before ordering and we will confirm which one it is.
Delivered to the email address on your order as a secure download link, usually within minutes and always within 24 hours of payment.
Download links do not expire and there is no cap on re-downloads. Readable on any computer, tablet or phone, online or offline.
This is a digital edition. Nothing is printed, packed or posted, and there is no delivery charge.