Image fusion /

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Bibliographic Details
Author / Creator:Xiao, Gang, author.
Imprint:Singapore : Springer ; Shanghai, China : Shanghai Jiao Tong University Press, [2020]
Description:1 online resource (415 pages)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/12607383
Hidden Bibliographic Details
Other authors / contributors:Bavirisetti, Durga Prasad, author.
Liu, Gang, author.
Zhang, Xingchen, author.
ISBN:9789811548673
9811548676
9811548668
9789811548666
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Description based on online resource; title from digital title page (viewed on October 16, 2020).
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.
Other form:Print version: Xiao, Gang Image Fusion Singapore : Springer Singapore Pte. Limited,c2020 9789811548666
Standard no.:10.1007/978-981-15-4