| 書目名稱 | Image Fusion | | 編輯 | Gang Xiao,Durga Prasad Bavirisetti,Xingchen Zhang | | 視頻video | http://file.papertrans.cn/462/461421/461421.mp4 | | 概述 | Covers a range of fundamental and advanced topics in image fusion.Introduces a new category of fusion techniques called edge preserving based image fusion.Presents various applications of image fusion | | 圖書封面 |  | | 描述 | 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.. | | 出版日期 | Book 2020 | | 關(guān)鍵詞 | Image Fusion; Fusion Models; Fusion Algorithms; Object Tracking; Machine Learning; Deep Learning; Medical | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-15-4867-3 | | isbn_softcover | 978-981-15-4869-7 | | isbn_ebook | 978-981-15-4867-3 | | copyright | Springer Nature Singapore Pte Ltd. and Shanghai Jiao Tong University Press 2020 |
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