Image Fusion
This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous veh...
| Main Authors: | , , , |
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| Corporate Author: | |
| Language: | English |
| Published: |
Singapore :
Springer Singapore : Imprint: Springer,
2020.
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| Edition: | 1st ed. 2020. |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-981-15-4867-3 |
| Summary: | This book systematically discusses the basic concepts, theories, research and latest trends in image fusion. It focuses on three image fusion categories – pixel, feature and decision – presenting various applications, such as medical imaging, remote sensing, night vision, robotics and autonomous vehicles. Further, it introduces readers to a new category: edge-preserving-based image fusion, and provides an overview of image fusion based on machine learning and deep learning. As such, it is a valuable resource for graduate students and scientists in the field of digital image processing and information fusion. |
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| Physical Description: | XVIII, 404 p. 231 illus., 76 illus. in color. online resource. |
| ISBN: | 9789811548673 |