Earth Observation Deep Learning (57 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
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Language: English
Published by Institution of Engineering and Technology, GB, 2023
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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
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Taschenbuch. Condition: Neu. Applications of Deep Learning to Radar Polarimetry | A Physics First Approach to Machine Learning in Radar Earth Observation Applications | Shaunak de | Taschenbuch | 212 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139815999 | Verantwortliche Person für die EU: preigu GmbH & Co.…KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

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
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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
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- Softcover
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Language: English
Published by The Institution of Engineering and Technology, 2023
- Hardcover
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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.

- Softcover
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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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Condition: New. 1st edition NO-PA16APR2015-KAP.

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Deep Learning for Earth Observation and Climate Monitoring
Bhatti, Uzair Aslam (EDT); Nizamani, Mir Muhammad (EDT); Wang, Yong (EDT); Tang, Hao (EDT)
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Deep Learning for Earth Observation and Climate Monitoring
Bhatti, Uzair Aslam (EDT); Nizamani, Mir Muhammad (EDT); Wang, Yong (EDT); Tang, Hao (EDT)
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Deep Learning for Earth Observation and Climate Monitoring
Bhatti, Uzair Aslam (EDT); Nizamani, Mir Muhammad (EDT); Wang, Yong (EDT); Tang, Hao (EDT)
- Softcover
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Deep Learning for Earth Observation and Climate Monitoring
Bhatti, Uzair Aslam (EDT); Nizamani, Mir Muhammad (EDT); Wang, Yong (EDT); Tang, Hao (EDT)
- Softcover
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- Softcover
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Condition: New. Introduces deep learning for classification, covering recent improvements in image segmentation and encoding priors, anomaly detection and target recognition, and domain adaptabilityIncludes both learning representations and unsupervised de.

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.