Seller: Sizzler Texts, SAN GABRIEL, CA, U.S.A.
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Add to basketSoft cover. Condition: New. Dust Jacket Condition: New. International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service.
Seller: Sizzler Texts, SAN GABRIEL, CA, U.S.A.
£ 49.95
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Add to basketSoft cover. Condition: New. Dust Jacket Condition: New. International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service.
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Published by LAP LAMBERT Academic Publishing, 2016
ISBN 10: 333000827X ISBN 13: 9783330008274
Language: English
Seller: Books Puddle, New York, NY, U.S.A.
£ 70.08
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Published by LAP LAMBERT Academic Publishing, 2012
ISBN 10: 3659124303 ISBN 13: 9783659124303
Language: English
Seller: Mispah books, Redhill, SURRE, United Kingdom
paperback. Condition: Like New. Like New. book.
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Published by Elsevier - Health Sciences Division, Philadelphia, 2024
ISBN 10: 0443190771 ISBN 13: 9780443190773
Language: English
Seller: CitiRetail, Stevenage, United Kingdom
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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Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 218 pages. 9.25x6.10x0.71 inches. In Stock.
Published by Springer
ISBN 10: 3642142125 ISBN 13: 9783642142123
Seller: Sizzler Texts, SAN GABRIEL, CA, U.S.A.
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Add to basketSoft cover. Condition: New. Dust Jacket Condition: New. International Edition. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service.
Seller: liu xing, Nanjing, JS, China
£ 67.35
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Add to basketpaperback. Condition: New. Paperback. Language: Chinese Publisher: China Science and Technology Publishing and Media Company Limited. Optical remote sensing rely on developers with high spatial and spectral resolution multispectral and hyperspectral images. These methods is useful for most of the remote sensing tasks. but for its effective utilization there is a huge challenge. This book presents the current state of the art algorithms used to solve the following key challenges encountered in the analysis of optical re.