Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 128,11
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Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 130,90
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Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: Rarewaves USA, OSWEGO, IL, U.S.A.
Hardback. Condizione: New. Earth observation (EO) involves the collection, analysis, and presentation of data in order to monitor and assess the status and changes in natural and built environments. This technology has many applications including weather forecasting, tracking biodiversity, measuring land-use change, monitoring and responding to natural disasters, managing natural resources, monitoring emerging diseases and health risks, and predicting, adapting to and mitigating climate change. This book shows how cutting-edge technologies such as artificial intelligence, including neural networks and deep learning, can be applied for processing satellite data for Earth observation. One of the objectives of this book is to explain how to develop a set of libraries for the implementation of artificial intelligence that could overcome some limits and encompass different aspects of research, ranging from data fusion to speckle filtering. In the first part, the authors introduce remote sensing concepts and deep neural networks and convolutional neural networks. In the second part of the book, they present the main tools used for image processing, several simulations and the data processing of specific case studies as well as the testing of related datasets. The book ends with conclusions, open questions and future works and perspectives for artificial intelligence techniques applied to future satellite missions. The book will be of interest to researchers focusing on using machine learning tools to process remote sensing data - particularly satellite data - for Earth observation. The book can also be used as a guide for researchers in many other fields of research who are interested in using ML techniques to process data and get reliable outcomes so they can make informed decisions for their specific objectives.
Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 134,79
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Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 140,07
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Editore: The Institution of Engineering and Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 136,71
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Editore: INSTITUTION OF ENGINEERING & T, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: moluna, Greven, Germania
EUR 121,81
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Aggiungi al carrelloCondizione: New. KlappentextThis book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for t.
Editore: Inst of Engineering & Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 163,95
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Aggiungi al carrelloHardcover. Condizione: Brand New. 300 pages. 9.25x6.25x0.75 inches. In Stock.
Editore: Institution of Engineering and Technology, GB, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: Rarewaves USA United, OSWEGO, IL, U.S.A.
EUR 136,72
Quantità: Più di 20 disponibili
Aggiungi al carrelloHardback. Condizione: New. Earth observation (EO) involves the collection, analysis, and presentation of data in order to monitor and assess the status and changes in natural and built environments. This technology has many applications including weather forecasting, tracking biodiversity, measuring land-use change, monitoring and responding to natural disasters, managing natural resources, monitoring emerging diseases and health risks, and predicting, adapting to and mitigating climate change. This book shows how cutting-edge technologies such as artificial intelligence, including neural networks and deep learning, can be applied for processing satellite data for Earth observation. One of the objectives of this book is to explain how to develop a set of libraries for the implementation of artificial intelligence that could overcome some limits and encompass different aspects of research, ranging from data fusion to speckle filtering. In the first part, the authors introduce remote sensing concepts and deep neural networks and convolutional neural networks. In the second part of the book, they present the main tools used for image processing, several simulations and the data processing of specific case studies as well as the testing of related datasets. The book ends with conclusions, open questions and future works and perspectives for artificial intelligence techniques applied to future satellite missions. The book will be of interest to researchers focusing on using machine learning tools to process remote sensing data - particularly satellite data - for Earth observation. The book can also be used as a guide for researchers in many other fields of research who are interested in using ML techniques to process data and get reliable outcomes so they can make informed decisions for their specific objectives.
Editore: Institution Of Engineering & Technology Nov 2021, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 167,99
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: Neu. Neuware - This book shows how artificial intelligence, including neural networks and deep learning, can be applied to the processing of satellite data for Earth observation. The authors explain how to develop a set of libraries for the implementation of artificial intelligence that encompass different aspects of research.
Editore: Institution of Engineering and Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: PBShop.store US, Wood Dale, IL, U.S.A.
HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Institution of Engineering and Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 145,60
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Aggiungi al carrelloHRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Editore: Institution of Engineering and Technology, 2021
ISBN 10: 1839532122 ISBN 13: 9781839532122
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 149,45
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.