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Computer Vision in Control Systems-3

Aerial and Satellite Image Processing

  • Book
  • © 2018

Overview

Editors:
  1. Margarita N. Favorskaya

    1. Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

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  2. Lakhmi C. Jain

    1. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

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    You can also search for this editor in PubMed   Google Scholar

  • 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)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Theoretical and Practical Solutions in Remote Sensing

    • Margarita N. Favorskaya, Lakhmi C. Jain
    Pages 1-9

  3. Multidimensional Image Models and Processing

    • Victor Krasheninnikov, Konstantin Vasil’ev
    Pages 11-64

  4. Vision-Based Change Detection Using Comparative Morphology

    • Yu. Vizilter, A. Rubis, O. Vygolov, S. Zheltov
    Pages 65-96

  5. Methods of Filtering and Texture Segmentation of Multicomponent Images

    • E. Medvedeva, I. Trubin, E. Kurbatova
    Pages 97-118

  6. Extraction and Selection of Objects in Digital Images by the Use of Straight Edges Segments

    • V. Yu. Volkov
    Pages 119-147

  7. Automated Decision Making in Road Traffic Monitoring by On-board Unmanned Aerial Vehicle System

    • Nikolay Kim, Nikolay Bodunkov
    Pages 149-175

  8. Warping Techniques in Video Stabilization

    • Margarita N. Favorskaya, Vladimir V. Buryachenko
    Pages 177-215

  9. Image Deblurring Based on Physical Processes of Blur Impacts

    • Andrei Bogoslovsky, Irina Zhigulina, Eugene Bogoslovsky, Vitaly Vasilyev
    Pages 217-250

  10. Core Algorithm for Structural Verification of Keypoint Matches

    • Roman O. Malashin
    Pages 251-286

  11. Strip-Invariants of Double-Sided Matrix Transformation of Images

    • Leonid Mironovsky, Valery Slaev
    Pages 287-319

  12. The Fibonacci Numeral System for Computer Vision

    • Oleksiy A. Borysenko, Vyacheslav V. Kalashnikov, Nataliya I. Kalashnykova, Svetlana M. Matsenko
    Pages 321-343
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Keywords

About this book

The research book is a continuation of the authors’ previous works, which are focused on recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms.
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.
 

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

  • Institute of Informatics and Telecommunications, Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia

    Margarita N. Favorskaya

  • 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

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