| 書(shū)目名稱(chēng) | Infrared Small Target Detection | | 副標(biāo)題 | Theory, Methods, and | | 編輯 | Hu Zhu,Yushan Pan,Guoxia Xu | | 視頻video | http://file.papertrans.cn/467/466278/466278.mp4 | | 概述 | A Comprehensive and In-depth Introduction to Infrared Small Object Detection.Provides algorithm Comparison and Selection Guide.Presents practical Application-Oriented Approach | | 圖書(shū)封面 |  | | 描述 | .Uncover the secrets of cutting-edge research in “Infrared Small Target Detection,” a crucial resource that delves into the dynamic world of infrared imaging and detection algorithms. This comprehensive book is an indispensable gem for the research community, offering a profound introduction to the theory, methods, and algorithms underlying infrared small object detection. As an invaluable guide, this book explores diverse models and categories of infrared small object detection algorithms, providing meticulous descriptions and comparisons of their strengths and limitations. Perfectly tailored for researchers, practitioners, and students with a passion for infrared imaging and detection, this book equips readers with the necessary knowledge to embark on groundbreaking investigations in this field..Readers can particularly be drawn to the book‘s methods, results, and topics, encompassing diverse categories of infrared small object detection algorithms and their corresponding advantages and disadvantages. The book also imparts foundational knowledge in mathematical morphology, tensor decomposition, and deep learning, enabling readers to grasp the underlying principles of these advanc | | 出版日期 | Book 2024 | | 關(guān)鍵詞 | Infrared target detection; Low-rank tensor decomposition; Small object detection; Mathematical morpholo | | 版次 | 1 | | doi | https://doi.org/10.1007/978-981-99-9799-2 | | isbn_softcover | 978-981-99-9801-2 | | isbn_ebook | 978-981-99-9799-2 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
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