Multi-Sensor Image Fusion and Its Applications
(CRC Press, 2005)
EME 2181
Taking another lesson from nature, the latest advances in image processing technology seek to combine image data from several diverse types of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its Applications is the first text dedicated to the theory and practice of the registration and fusion of image data, covering such approaches as statistical methods, colour-related techniques, model-based methods, and visual information display strategies.
After a review of state-of-the-art image fusion techniques, the book provides an overview of fusion algorithms and fusion performance evaluation. The following chapters explore recent progress and practical applications of the proposed techniques to solving problems in such areas as medical diagnosis, surveillance and biometric systems, remote sensing, non-destructive evaluation, blurred image restoration, and image quality assessment. Recognized leaders from industry and academia contribute the chapters, reflecting the latest research trends and providing useful algorithms to aid implementation.
Supplying a 28-page full-colour insert, Multi-Sensor Image Fusion and Its Applications clearly demonstrates the benefits and possibilities of this revolutionary development. It provides a solid knowledge base for applying these cutting-edge techniques to new challenges and creating future advances.
(Description Source: Routledge/CRC Press)
Authors/Editors
Zheng Liu is a professor of Civil, Electrical, and Manufacturing engineering at the University of British Columbia (Okanagan). He received his doctorate in engineering from Kyoto University (Kyoto, Japan) in 2000 and earned a second Ph.D. from the University of Ottawa in 2007. From 2000 to 2001, he was a research fellow with the Nanyang Technological University (Singapore). He then joined the National Research Council (NRC) of Canada (Ottawa, Ontario) as a Governmental Laboratory Visiting Fellow nominated by NSERC in 2001. From 2002, he became a Research Officer associated with two research institutes of NRC (Aerospace Research [IAR] & Research in Construction [IRC]). From 2012 to 2015, Dr. Liu worked as a full professor for Toyota Technological Institute at Nagoya, Japan. In August 2015, Dr. Liu joined the University of British Columbia (Okanagan campus) at Kelowna, BC, Canada. His research interests include condition-based maintenance, condition assessment, nondestructive inspection & evaluation, prognostic health management (PHM), data/information fusion, computer/machine vision, pattern recognition, machine learning, and sensor/sensor network. Dr. Liu is a senior member of IEEE and SPIE. He served as the vice president for publication at the IEEE Instrumentation and Measurement Society (2016-2017) and is co-chairing the IEEE IMS TC-1. He holds professional engineer licenses in both Ontario and British Columbia. Dr. Liu also serves on the editorial boards for a number of peer-reviewed journals.
Rick S. Blum is a Robert W. Wieseman professor of Electrical & Computer Engineering at LeHigh University.
UBC Library Holdings
How to Purchase this Book
From the Publisher – SPIE Press
From Used-book Sellers – ABE, Amazon, Antiqbook, Biblio, Vialibri
Hardcover ISBN: 9780849334177
eBook ISBN: 9781315221069
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