Editors:
- Focuses on computer vision methodologies and technical solutions applied to advanced control systems using conventional and intelligent paradigms
- Presents applications of and practical innovations in applied computer vision and vision-based control systems
- Covers intelligent paradigms in computer vision and their applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 135)
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Table of contents (11 chapters)
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Front Matter
About this book
The book gathers selected contributions addressing aerial and satellite image processing and related fields. Topics covered include novel tensor and wave models, a new comparative morphology scheme, warping compensation in video stabilization, image deblurring based on physical processes of blur impacts, and a rapid and robust core structural verification algorithm for feature extraction in images and videos, among others. All chapters focus on practical implementations.
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Given the tremendous interest among researchers in the development and applications of computer vision paradigms in the field of business, engineering, medicine, security and aviation, this book offers a timely guide.
Editors and Affiliations
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Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
Margarita N. Favorskaya
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Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia
Lakhmi C. Jain
Bibliographic Information
Book Title: Computer Vision in Control Systems-3
Book Subtitle: Aerial and Satellite Image Processing
Editors: Margarita N. Favorskaya, Lakhmi C. Jain
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-67516-9
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-67515-2Published: 03 November 2017
Softcover ISBN: 978-3-319-88443-1Published: 01 September 2018
eBook ISBN: 978-3-319-67516-9Published: 25 October 2017
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XIV, 343
Number of Illustrations: 100 b/w illustrations, 45 illustrations in colour
Topics: Computational Intelligence, Artificial Intelligence, Control and Systems Theory