Dublin Core
Title
Artificial Intelligence-Based Learning Approaches for Remote Sensing.
Subject
Artificial Intelligence Engineering
Description
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.
Creator
Jeon, Gwanggil (editor)
Source
https://directory.doabooks.org/handle/20.500.12854/95818
Publisher
MDPI - Multidisciplinary Digital Publishing Institute
Date
2022
Contributor
dwi marina
Rights
https://creativecommons.org/licenses/by/4.0/
Format
Pdf
Language
english
Type
Textbooks
Identifier
DOI
10.3390/books978-3-0365-6084-7
ISBN
9783036560830, 9783036560847
10.3390/books978-3-0365-6084-7
ISBN
9783036560830, 9783036560847