Artificial Intelligence-Based Learning Approaches for Remote Sensing
Language: English
Published by Mdpi AG, 2022
- Hardcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
Condition: New
US$ 112.37
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Add to basketItem description from seller
In English.
Seller Inventory # ria9783036560830_new
- Title
- Artificial Intelligence-Based Learning Approaches for Remote Sensing
- Publisher
- Mdpi AG
- Publication year
- 2022
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3036560831
- ISBN 13
- 9783036560830
- Item weight
- 1,142 grams
The book focuses on artificial intelligence-based learning approaches and their applications in remote sensing fields. The explosive development of machine learning, deep learning approaches, and its wide applications in signal processing have been witnessed in remote sensing. The new developments in remote sensing have led to a high-resolution monitoring of ground on a global scale, giving a huge amount of ground observation data. Thus, artificial intelligence-based deep learning approaches and its applied signal processing are required for remote sensing. These approaches can be universal or specific tools of artificial intelligence, including well-known neural networks, regression methods, decision trees, etc. It is worth compiling the various cutting-edge techniques and reporting on their promising applications
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Ria Christie Collections
Uxbridge, United Kingdom
AbeBooks seller since March 25, 2015
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