Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Hardback. Condition: New. Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges covers the basic properties, features and models for Earth observation (EO) recorded by very high-resolution (VHR) multispectral, hyperspectral, synthetic aperture radar (SAR), and multi-temporal observations. Approaches for applying pre-processing methods and deep learning techniques to satellite images for various applications - such as identifying land cover features, object detection, crop classification, target recognition, and the monitoring of earth resources - are described. Cost-efficient resource allocation solutions are provided, which are robust against common uncertainties that occur in annotating and extracting features on satellite images. This book is a valuable resource for engineers and researchers in academia and industry working on AI, machine and deep learning, data science, remote sensing, GIS, SAR, satellite communications, space science, image processing and computer vision. It will also be of interest to staff at research agencies, lecturers and advanced students in related fields. Readers will need a basic understanding of computing, remote sensing, GIS and image interpretation.
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Published by Inst of Engineering & Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Add to basketHardcover. Condition: Brand New. 244 pages. 9.21x6.14x0.83 inches. In Stock.
Published by Institution of Engineering and Technology, GB, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Add to basketHardback. Condition: New. Earth Observation Data Analytics Using Machine and Deep Learning: Modern tools, applications and challenges covers the basic properties, features and models for Earth observation (EO) recorded by very high-resolution (VHR) multispectral, hyperspectral, synthetic aperture radar (SAR), and multi-temporal observations. Approaches for applying pre-processing methods and deep learning techniques to satellite images for various applications - such as identifying land cover features, object detection, crop classification, target recognition, and the monitoring of earth resources - are described. Cost-efficient resource allocation solutions are provided, which are robust against common uncertainties that occur in annotating and extracting features on satellite images. This book is a valuable resource for engineers and researchers in academia and industry working on AI, machine and deep learning, data science, remote sensing, GIS, SAR, satellite communications, space science, image processing and computer vision. It will also be of interest to staff at research agencies, lecturers and advanced students in related fields. Readers will need a basic understanding of computing, remote sensing, GIS and image interpretation.
Published by Institution Of Engineering & Technology Jul 2023, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Add to basketBuch. Condition: Neu. Neuware - Using machine and deep learning techniques the authors introduce pre-processing methods applied to satellite images to identify land cover features, detect object, classify crops, recognize targets, and monitor and support earth resources. Readers will need a basic understanding of computing, remote sensing and image interpretation.
Published by Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Published by Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Published by Institution of Engineering and Technology, 2023
ISBN 10: 1839536179 ISBN 13: 9781839536175
Language: English
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Add to basketHRD. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.