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Infrared small target detectiontheory, methods, and algorithms /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Infrared small target detectionby Hu Zhu ... [et al.].
其他題名:	theory, methods, and algorithms /
其他作者:	Zhu, Hu.
出版者:	Singapore :Springer Nature Singapore :2024.
面頁冊數:	xiv, 168 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Infrared detectors.
電子資源:	https://doi.org/10.1007/978-981-99-9799-2
ISBN:	9789819997992$q(electronic bk.)

Infrared small target detectiontheory, methods, and algorithms /
Infrared small target detectiontheory, methods, and algorithms /[electronic resource] :by Hu Zhu ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xiv, 168 p. :ill., digital ;24 cm.

Chapter 1: Introduction -- Chapter 2: Preliminaries -- Chapter 3: Morphological Transformation for infrared small object detection -- Chapter 4: Low-rank tensor decomposition for infrared small object detection -- Chapter 5: Deep learning methods for infrared small object detection -- Chapter 6: Performance of different methods. Chapter 7: Summary and Outlook of research on infrared small target detection.

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 advanced algorithms. Experience the key benefits of "Infrared Small Target Detection" as readers gain a profound understanding of theory, methods, and algorithms tailored to infrared small object detection. The comprehensive descriptions and comparisons of various algorithm categories empower readers to select the perfect algorithms for their specific applications. Unlock the potential of this groundbreaking resource with a basic understanding of mathematics, statistics, and image processing. Some familiarity with infrared imaging and detection proves advantageous in fully immersing oneself in the wealth of knowledge presented within these pages.

ISBN: 9789819997992$q(electronic bk.)

Standard No.: 10.1007/978-981-99-9799-2doiSubjects--Topical Terms:

181947
Infrared detectors.

LC Class. No.: TA1573

Dewey Class. No.: 621.362

Infrared small target detectiontheory, methods, and algorithms /
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520 $a 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 advanced algorithms. Experience the key benefits of "Infrared Small Target Detection" as readers gain a profound understanding of theory, methods, and algorithms tailored to infrared small object detection. The comprehensive descriptions and comparisons of various algorithm categories empower readers to select the perfect algorithms for their specific applications. Unlock the potential of this groundbreaking resource with a basic understanding of mathematics, statistics, and image processing. Some familiarity with infrared imaging and detection proves advantageous in fully immersing oneself in the wealth of knowledge presented within these pages.
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