Editors:
- Presents step-by-step algorithms of the satellite image analysis methods allowing researchers to reproduce the work for further enhancements
- Covers diversified image analysis methods which will be useful for beginners
- Provides extensive experimental results that validate the methods used in the book chapters
Part of the book series: Remote Sensing and Digital Image Processing (RDIP, volume 24)
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Table of contents (12 chapters)
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Front Matter
About this book
The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing.
Keywords
- Satellite image processing
- Artificial Intelligence for SAR images
- Remote sensing
- Hyperspectral digital imaging
- Pattern recognition
- identification in SAR images
- Detection in satellite imagies
- soft computing techiques for image analysis
- deep learning for satellite imagery
- remote sensing/photogrammetry
Editors and Affiliations
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Electronics and Communication Engineering, Karunya University, Coimbatore, India
D. Jude Hemanth
About the editor
Jude Hemanth received his BE degree in ECE from Bharathiar University in 2002, his ME in Communication Systems from Anna University in 2006, and his PhD from Karunya University in 2013. His main research areas include computational intelligence and image processing. He has authored more than 100 research papers in reputed International Journals.
He has authored one book and numerous book chapters with reputed publishers such as Springer and Inderscience. He has served as Associate Editor of IEEE Access Journal, and is currently a Guest Editor for many journals published by Springer, Inderscience, IOS Press, etc. A member of the IEEE Technical Committee on Neural Networks (IEEE Computational Intelligence Society) and IEEE Technical Committee on Soft Computing (IEEE Systems, Man and Cybernetics Society), Prof Hemanth has completed one funded research project for the CSIR, Government of India. He is also a Research Scientist at the Computational Intelligence and InformationSystems (CI2S) Lab, Argentina and RIADI Lab, Tunisia. Currently, he is working as an Associate Professor at the Department of ECE, Karunya University, India.Bibliographic Information
Book Title: Artificial Intelligence Techniques for Satellite Image Analysis
Editors: D. Jude Hemanth
Series Title: Remote Sensing and Digital Image Processing
DOI: https://doi.org/10.1007/978-3-030-24178-0
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-24177-3Published: 26 November 2019
Softcover ISBN: 978-3-030-24180-3Published: 26 November 2020
eBook ISBN: 978-3-030-24178-0Published: 13 November 2019
Series ISSN: 1567-3200
Series E-ISSN: 2215-1842
Edition Number: 1
Number of Pages: VIII, 274
Number of Illustrations: 50 b/w illustrations, 100 illustrations in colour
Topics: Artificial Intelligence, Remote Sensing/Photogrammetry, Image Processing and Computer Vision, Pattern Recognition