Multi Sensor Imaging And Fusion Methods Evaluations And Applications Volume Ii
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Author |
: Zhiqin Zhu |
Publisher |
: Frontiers Media SA |
Total Pages |
: 208 |
Release |
: 2024-07-24 |
ISBN-10 |
: 9782832552001 |
ISBN-13 |
: 2832552005 |
Rating |
: 4/5 (01 Downloads) |
Synopsis Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications, volume II by : Zhiqin Zhu
Multi-sensor image fusion focuses on processing images of the same object or scene acquired by multiple sensors, in which various sensors with multi-level and multi-spatial information are complemented and combined to ultimately yield a consistent interpretation of the observed environment. In recent years, multi-sensor image fusion has become a highly active topic, and various fusion methods have been proposed. Many effective processing methods, including multi-scale transformation, fuzzy inference, and deep learning, have been introduced to design fusion algorithms. Despite the great progress, there are still some noteworthy challenges in the field, such as the lack of unified fusion theories and methods for effective generalized fusion, the lack of fault tolerance and robustness, the lack of benchmarks for performance evaluation, the lack of work on specific applications of multi-sensor image fusion, and so on.
Author |
: Zhiqin Zhu |
Publisher |
: Frontiers Media SA |
Total Pages |
: 207 |
Release |
: 2023-10-25 |
ISBN-10 |
: 9782832536933 |
ISBN-13 |
: 283253693X |
Rating |
: 4/5 (33 Downloads) |
Synopsis Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications by : Zhiqin Zhu
Author |
: Rick S. Blum |
Publisher |
: CRC Press |
Total Pages |
: 528 |
Release |
: 2018-10-03 |
ISBN-10 |
: 9781420026986 |
ISBN-13 |
: 1420026984 |
Rating |
: 4/5 (86 Downloads) |
Synopsis Multi-Sensor Image Fusion and Its Applications by : Rick S. Blum
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, color-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, nondestructive 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-color 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.
Author |
: Yufeng Zheng (Associate professor) |
Publisher |
: |
Total Pages |
: 396 |
Release |
: 2018 |
ISBN-10 |
: 1510619062 |
ISBN-13 |
: 9781510619067 |
Rating |
: 4/5 (62 Downloads) |
Synopsis Multispectral Image Fusion and Colorization by : Yufeng Zheng (Associate professor)
"This book provides a complete overview of the state of the art in color image fusion, the associated evaluation methods, and its range of applications. It presents a comprehensive overview of fusion metrics and a comparison of objective metrics and subjective evaluations. Part I addresses the historical background and basic concepts. Part II describes image fusion theory. Part III focuses on quantitative and qualitative evaluation. Part IV presents several fusion applications, including two primary multiscale fusion approaches - the image pyramid and wavelet transform - as they pertain to face matching, biomedical imaging, and night vision"--
Author |
: Rick S. Blum |
Publisher |
: CRC Press |
Total Pages |
: 418 |
Release |
: 2018-10-03 |
ISBN-10 |
: 9781351836951 |
ISBN-13 |
: 1351836951 |
Rating |
: 4/5 (51 Downloads) |
Synopsis Multi-Sensor Image Fusion and Its Applications by : Rick S. Blum
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, color-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, nondestructive 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-color 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.
Author |
: Jitendra R. Raol |
Publisher |
: CRC Press |
Total Pages |
: 570 |
Release |
: 2009-12-16 |
ISBN-10 |
: 9781439800058 |
ISBN-13 |
: 1439800057 |
Rating |
: 4/5 (58 Downloads) |
Synopsis Multi-Sensor Data Fusion with MATLAB by : Jitendra R. Raol
Using MATLAB examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion (MSDF): kinematic-level fusion, including the theory of DF; fuzzy logic and decision fusion; and pixel- and feature-level image fusion. The authors elucidate DF strategies, algorithms, and performance evaluation mainly
Author |
: Martin Liggins II |
Publisher |
: CRC Press |
Total Pages |
: 872 |
Release |
: 2017-01-06 |
ISBN-10 |
: 9781420053098 |
ISBN-13 |
: 1420053094 |
Rating |
: 4/5 (98 Downloads) |
Synopsis Handbook of Multisensor Data Fusion by : Martin Liggins II
In the years since the bestselling first edition, fusion research and applications have adapted to service-oriented architectures and pushed the boundaries of situational modeling in human behavior, expanding into fields such as chemical and biological sensing, crisis management, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts and theory as information fusion expands into the realm of network-centric architectures. It reflects new developments in distributed and detection fusion, situation and impact awareness in complex applications, and human cognitive concepts. With contributions from the world’s leading fusion experts, this second edition expands to 31 chapters covering the fundamental theory and cutting-edge developments that are driving this field. New to the Second Edition— · Applications in electromagnetic systems and chemical and biological sensors · Army command and combat identification techniques · Techniques for automated reasoning · Advances in Kalman filtering · Fusion in a network centric environment · Service-oriented architecture concepts · Intelligent agents for improved decision making · Commercial off-the-shelf (COTS) software tools From basic information to state-of-the-art theories, this second edition continues to be a unique, comprehensive, and up-to-date resource for data fusion systems designers.
Author |
: Xue-Bo Jin |
Publisher |
: MDPI |
Total Pages |
: 602 |
Release |
: 2020-03-23 |
ISBN-10 |
: 9783039283026 |
ISBN-13 |
: 3039283022 |
Rating |
: 4/5 (26 Downloads) |
Synopsis Multi-Sensor Information Fusion by : Xue-Bo Jin
This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, estimation and filtering, and the latest research, artificial intelligence involving deep learning.
Author |
: Osamu Ukimura |
Publisher |
: BoD – Books on Demand |
Total Pages |
: 442 |
Release |
: 2011-01-12 |
ISBN-10 |
: 9789533076799 |
ISBN-13 |
: 9533076798 |
Rating |
: 4/5 (99 Downloads) |
Synopsis Image Fusion by : Osamu Ukimura
Image fusion technology has successfully contributed to various fields such as medical diagnosis and navigation, surveillance systems, remote sensing, digital cameras, military applications, computer vision, etc. Image fusion aims to generate a fused single image which contains more precise reliable visualization of the objects than any source image of them. This book presents various recent advances in research and development in the field of image fusion. It has been created through the diligence and creativity of some of the most accomplished experts in various fields.
Author |
: Yufeng Zheng (Associate professor) |
Publisher |
: |
Total Pages |
: |
Release |
: 2018 |
ISBN-10 |
: 1510619089 |
ISBN-13 |
: 9781510619081 |
Rating |
: 4/5 (89 Downloads) |
Synopsis Multispectral Image Fusion and Colorization by : Yufeng Zheng (Associate professor)
"This book provides a complete overview of the state of the art in color image fusion, the associated evaluation methods, and its range of applications. It presents a comprehensive overview of fusion metrics and a comparison of objective metrics and subjective evaluations. Part I addresses the historical background and basic concepts. Part II describes image fusion theory. Part III focuses on quantitative and qualitative evaluation. Part IV presents several fusion applications, including two primary multiscale fusion approaches - the image pyramid and wavelet transform - as they pertain to face matching, biomedical imaging, and night vision"--