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.

Contenuti

A Theoretical Framework for Predicting Performance of Object Recognition Methods for Improving the Performance of a SAR Recognition System Three-Dimensional Laser Radar Recognition Approaches Target Classification Using Adaptive Feature Extraction and Subspace Projection for Hyperspectral Imagery Moving Object Detection and Compression in IR Sequences Face Recognition in the Thermal Infared Cardiovascular MR Image Analysis Visualization and Segmentation Techniques in 3D Ultrasound Images Time-Frequency Analysis in Terahertz Pulsed Imaging

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