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Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing
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- Buy it nowDeep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing
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Item specifics
- Condition
- ISBN-13
- 9781119646143
- Book Title
- Deep Learning for the Earth Sciences
- ISBN
- 9781119646143
- Publication Year
- 2021
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Publication Name
- Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences
- Item Height
- 244mm
- Publisher
- John Wiley & Sons AND Sons LTD
- Item Width
- 170mm
- Subject
- Engineering & Technology, Geography & Geosciences
- Item Weight
- 666g
- Number of Pages
- 432 Pages
About this product
Product Information
Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices in the field Deep learning is a fundamental technique in modern artificial intelligence and is being applied to disciplines across the scientific spectrum. Earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferate broad spread. Deep Learning for the Earth Sciences delivers a perspective and unique treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described within in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Product Identifiers
Publisher
John Wiley & Sons AND Sons LTD
ISBN-13
9781119646143
eBay Product ID (ePID)
22049036100
Product Key Features
Publication Name
Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences
Format
Hardcover
Language
English
Subject
Engineering & Technology, Geography & Geosciences
Publication Year
2021
Type
Textbook
Number of Pages
432 Pages
Dimensions
Item Height
244mm
Item Width
170mm
Item Weight
666g
Additional Product Features
Country/Region of Manufacture
United States
Editor
Gustau Camps-Valls, Markus Reichstein, Xiao Xiang Zhu, Devis Tuia
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ABC Books Ltd
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- GB 324767388
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- 05034144
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eBay item number:235410955684
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