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Advances in Machine Learning and Image Analysis for GeoAI (Paperback)
Published by Elsevier - Health Sciences Division, Philadelphia, 2024
ISBN 10: 0443190771 ISBN 13: 9780443190773
Language: English
Paperback. Condition: new. Paperback. Advances in Machine Learning and Image Analysis for GeoAI presents recent advances in applications and algorithms that are at the intersection of Geospatial imaging and Artificial Intelligence (GeoAI). The book covers algorithmic advances in geospatial image analysis, sensor fusion across modalities, few-shot open-set recognition, explainable AI for Earth Observations, self-supervised learning, image superresolution, Visual Question Answering, and spectral unmixing, among other topics.This book offers a comprehensive resource for graduate students, researchers, and practitioners in the area of geospatial image analysis. It provides detailed descriptions of the latest techniques, best practices, and insights essential for implementing deep learning strategies in GeoAI research and applications. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Advances in Machine Learning and Image Analysis for GeoAI
Published by Elsevier - Health Sciences Division, 2024
ISBN 10: 0443190771 ISBN 13: 9780443190773
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
£ 134.29
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 497.
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£ 134.16
Convert currency£ 6.72 shipping from U.S.A. to United KingdomQuantity: 3 available
Add to basketCondition: New. 1st edition NO-PA16APR2015-KAP.
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£ 145.77
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Advances in Machine Learning and Image Analysis for Geoai
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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£ 151.44
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Advances in Machine Learning and Image Analysis for GeoAI
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 151.45
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Advances in Machine Learning and Image Analysis for GeoAI (Paperback)
Published by Elsevier - Health Sciences Division, Philadelphia, 2024
ISBN 10: 0443190771 ISBN 13: 9780443190773
Language: English
£ 121.89
Convert currency£ 37.33 shipping from U.S.A. to United KingdomQuantity: 1 available
Add to basketPaperback. Condition: new. Paperback. Advances in Machine Learning and Image Analysis for GeoAI presents recent advances in applications and algorithms that are at the intersection of Geospatial imaging and Artificial Intelligence (GeoAI). The book covers algorithmic advances in geospatial image analysis, sensor fusion across modalities, few-shot open-set recognition, explainable AI for Earth Observations, self-supervised learning, image superresolution, Visual Question Answering, and spectral unmixing, among other topics.This book offers a comprehensive resource for graduate students, researchers, and practitioners in the area of geospatial image analysis. It provides detailed descriptions of the latest techniques, best practices, and insights essential for implementing deep learning strategies in GeoAI research and applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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£ 152.90
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£ 156.97
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Add to basketCondition: As New. Unread book in perfect condition.
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Advances in Machine Learning and Image Analysis for Geoai
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
£ 167.72
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Advances in Machine Learning and Image Analysis for GeoAI
Published by Elsevier - Health Sciences Division Apr 2024, 2024
ISBN 10: 0443190771 ISBN 13: 9780443190773
Language: English
£ 238.51
Convert currency£ 12.13 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. Neuware - Advances in Machine Learning and Image Analysis for GeoAI provides state-of-the-art machine learning and signal processing techniques for a comprehensive collection of geospatial sensors and sensing platforms. The book covers supervised, semi-supervised and unsupervised geospatial image analysis, sensor fusion across modalities, image super-resolution, transfer learning across sensors and time-points, and spectral unmixing, among other topics. The chapters in these thematic areas cover a variety of algorithmic frameworks such as variants of convolutional neural networks, graph convolutional networks, multi-stream networks, Bayesian networks, generative adversarial networks, transformers, and more. This book provides graduate students, researchers, and practitioners in the area of signal processing and geospatial image analysis with the latest techniques to implement deep learning strategies in their research.
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Paperback. Condition: Brand New. 350 pages. 9.00x5.94x9.00 inches. In Stock. This item is printed on demand.
