Earth Observation Data Analytics (12 results)
Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Garg, Sanjay (EDT); Jain, Swati (EDT); Dube, Nitant (EDT); Varghese, Nebu (EDT)
Language: English
Published by The Institution of Engineering and Technology 2023
- Hardcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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Language: English
Published by Institution of Engineering and Technology, GB 2023
- Hardcover
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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.
Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Garg, Sanjay (EDT); Jain, Swati (EDT); Dube, Nitant (EDT); Varghese, Nebu (EDT)
Language: English
Published by The Institution of Engineering and Technology 2023
- Hardcover
Seller: GreatBookPrices, Columbia, U.S.A.GreatBookPrices
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Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Garg, Sanjay (EDT); Jain, Swati (EDT); Dube, Nitant (EDT); Varghese, Nebu (EDT)
Language: English
Published by The Institution of Engineering and Technology 2023
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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Earth Observation Data Analytics Using Machine and Deep Learning : Modern Tools, Applications and Challenges
Garg, Sanjay (EDT); Jain, Swati (EDT); Dube, Nitant (EDT); Varghese, Nebu (EDT)
Language: English
Published by The Institution of Engineering and Technology 2023
- Hardcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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US$ 147.40
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Language: English
Published by The Institution of Engineering and Technology 2023
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Institution of Engineering and Technology, GB 2023
- Hardcover
Seller: Rarewaves USA United, OSWEGO, U.S.A.Rarewaves USA United
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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.
Earth Observation Data Analytics Using Machine and Deep Learning: Modern Tools, Applications and Challenges
Garg, Sanjay (Editor)/ Jain, Swati (Editor)/ Dube, Nitant (Editor)/ Varghese, Nebu (Editor)
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 244 pages. 9.21x6.14x0.83 inches. In Stock.
Language: English
Published by Institution Of Engineering & Technology Jul 2023 2023
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. 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, remo…te sensing and image interpretation.
Language: English
Published by Institution of Engineering and Technology 2023
- Hardcover
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Seller: PBShop.store US, Wood Dale, U.S.A.PBShop.store US
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HRD. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by Institution of Engineering and Technology 2023
- Hardcover
- Print on Demand
Seller: PBShop.store UK, Fairford, United KingdomPBShop.store UK
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HRD. 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.
Language: English
Published by Institution of Engineering and Technology 2023
- Hardcover
- Print on Demand
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
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Hardback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
