Computer Vision Beyond the Visible Spectrum
Editors: Bhanu, Bir, Pavlidis, Ioannis (Eds.)
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- About this book
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Recently, there has been a dramatic increase in the use of sensors in the non-visible bands. As a result, there is a need for existing computer vision methods and algorithms to be adapted for use with non-visible sensors, or for the development of completely new methods and systems. Computer Vision Beyond the Visible Spectrum is the first book to bring together state-of-the-art work in this area. It presents new & pioneering research across the electromagnetic spectrum in the military, commercial, and medical domains. By providing a detailed examination of each of these areas, it focuses on the development of state-of-the-art algorithms and looks at how they can be used to solve existing & new challenges within computer vision. Essential reading for academics & industrial researchers working in the area of computer vision, image processing, and medical imaging, it will also be useful background reading for advanced undergraduate & postgraduate students.
- Table of contents (9 chapters)
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A Theoretical Framework for Predicting Performance of Object Recognition
Pages 1-37
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Methods for Improving the Performance of an SAR Recognition System
Pages 39-69
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Three-Dimensional Laser Radar Recognition Approaches
Pages 71-114
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Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery
Pages 115-140
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Moving Object Detection and Compression in IR Sequences
Pages 141-165
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Table of contents (9 chapters)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Computer Vision Beyond the Visible Spectrum
- Editors
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- Bir Bhanu
- Ioannis Pavlidis
- Series Title
- Advances in Computer Vision and Pattern Recognition
- Copyright
- 2005
- Publisher
- Springer-Verlag London
- Copyright Holder
- Springer-Verlag London
- eBook ISBN
- 978-1-84628-065-8
- DOI
- 10.1007/b138155
- Hardcover ISBN
- 978-1-85233-604-2
- Softcover ISBN
- 978-1-84996-887-4
- Series ISSN
- 2191-6586
- Edition Number
- 1
- Number of Pages
- X, 320
- Number of Illustrations
- 151 b/w illustrations, 5 illustrations in colour
- Topics
