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Artificial Intelligence-Based Learning Approaches for Remote Sensing

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The reprint 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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Series Title

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Call Number

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Publisher

www.mdpi.com/books : MDPI - Multidisciplinary Digital Publishing Institute., Basel, 2022

Collation

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Language

English

ISBN/ISSN

9783036560830

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

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Subject(s)

Technology
Environmental Science
History of engineering

Specific Detail Info

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Statement of Responsibility

Jeon, Gwanggi

Other Information

Cataloger

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Source

https://directory.doabooks.org/handle/20.500.12854/95818

Validator

Suwardi

Digital Object Identifier (DOI)

10.3390/books978-3-0365-6084-7

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