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Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, 2025
ISBN 10: 0443247129 ISBN 13: 9780443247125
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Añadir al carritoCondición: New. Introduces deep learning for classification, covering recent improvements in image segmentation and encoding priors, anomaly detection and target recognition, and domain adaptabilityIncludes both learning representations and unsupervised de.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division Jun 2025, 2025
ISBN 10: 0443247129 ISBN 13: 9780443247125
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Añadir al carritoTaschenbuch. Condición: Neu. Neuware - Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies.
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Publicado por Elsevier - Health Sciences Division, 2025
ISBN 10: 0443247129 ISBN 13: 9780443247125
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Publicado por Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443247129 ISBN 13: 9780443247125
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Añadir al carritoPaperback. Condición: new. Paperback. Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Añadir al carritoPaperback. Condición: Brand New. 350 pages. 12.00x9.00x10.73 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443247129 ISBN 13: 9780443247125
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Añadir al carritoPaperback. Condición: new. Paperback. Deep Learning for Earth Observation and Climate Monitoring bridges the gap between deep learning and the Earth sciences, offering cutting-edge techniques and applications that are transforming our understanding of the environment. With a focus on practical scenarios, this book introduces readers to the fundamental concepts of deep learning, from classification and image segmentation to anomaly detection and domain adaptability. The book includes practical discussion on regression, parameter retrieval, forecasting, and interpolation, among other topics. With a solid foundational theory, real-world examples, and example codes, it provides a full understanding of how intelligent systems can be applied to enhance Earth observation and especially climate monitoring.This book allows readers to apply learning representations, unsupervised deep learning, and physics-aware models to Earth observation data, enabling them to leverage the power of deep learning to fully utilize the wealth of environmental data from satellite technologies. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Idioma: Inglés
Publicado por Elsevier - Health Sciences Division, Philadelphia, 2025
ISBN 10: 0443247129 ISBN 13: 9780443247125
Librería: AussieBookSeller, Truganina, VIC, Australia
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Añadir al carritoPaperback. Condición: new. Paperback. Bhatti-Deep Learning for EO and CM This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.