Multi Sensor Imaging And Fusion Methods Evaluations And Applications PDF Download
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Author | : Zhiqin Zhu |
Publisher | : Frontiers Media SA |
Total Pages | : 207 |
Release | : 2023-10-25 |
Genre | : Science |
ISBN | : 283253693X |
Download Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications Book in PDF, ePub and Kindle
Author | : Zhiqin Zhu |
Publisher | : Frontiers Media SA |
Total Pages | : 208 |
Release | : 2024-07-24 |
Genre | : Science |
ISBN | : 2832552005 |
Download Multi-Sensor Imaging and Fusion: Methods, Evaluations, and Applications, volume II Book in PDF, ePub and Kindle
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 | : Rick S. Blum |
Publisher | : CRC Press |
Total Pages | : 423 |
Release | : 2018-10-03 |
Genre | : Technology & Engineering |
ISBN | : 1351836951 |
Download Multi-Sensor Image Fusion and Its Applications Book in PDF, ePub and Kindle
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 |
Genre | : Technology & Engineering |
ISBN | : 1439800057 |
Download Multi-Sensor Data Fusion with MATLAB Book in PDF, ePub and Kindle
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 | : Jukka Heikkonen |
Publisher | : Mdpi AG |
Total Pages | : 168 |
Release | : 2022-03-04 |
Genre | : Mathematics |
ISBN | : 9783036513522 |
Download Application of Multi-Sensor Fusion Technology in Target Detection and Recognition Book in PDF, ePub and Kindle
Application of multi-sensor fusion technology has drawn a lot of industrial and academic interest in recent years. The multi-sensor fusion methods are widely used in many applications, such as autonomous systems, remote sensing, video surveillance, and the military. These methods can obtain the complementary properties of targets by considering multiple sensors. On the other hand, they can achieve a detailed environment description and accurate detection of interest targets based on the information from different sensors. This book collects novel developments in the field of multi-sensor, multi-source, and multi-process information fusion. Articles are expected to emphasize one or more of the three facets: architectures, algorithms, and applications. Published papers dealing with fundamental theoretical analyses, as well as those demonstrating their application to real-world problems.
Author | : Xue-Bo Jin |
Publisher | : MDPI |
Total Pages | : 602 |
Release | : 2020-03-23 |
Genre | : Technology & Engineering |
ISBN | : 3039283022 |
Download Multi-Sensor Information Fusion Book in PDF, ePub and Kindle
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 | : Rick S. Blum |
Publisher | : CRC Press |
Total Pages | : 528 |
Release | : 2018-10-03 |
Genre | : Technology & Engineering |
ISBN | : 1420026984 |
Download Multi-Sensor Image Fusion and Its Applications Book in PDF, ePub and Kindle
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 | : Yu Liu |
Publisher | : Frontiers Media SA |
Total Pages | : 163 |
Release | : 2023-02-06 |
Genre | : Science |
ISBN | : 2832513883 |
Download Multimodal Brain Image Fusion: Methods, Evaluations, and Applications Book in PDF, ePub and Kindle
Author | : Zheng Liu |
Publisher | : Universal-Publishers |
Total Pages | : 222 |
Release | : 2010-08 |
Genre | : Technology & Engineering |
ISBN | : 159942651X |
Download Investigations on Multi-Sensor Image System and Its Surveillance Applications Book in PDF, ePub and Kindle
This thesis investigates the issues of implementing multi-sensor imaging system for surveillance applications. Three topics for the fusion of infrared and electro-optic images are studied, i.e. registration, fusion, and evaluation. The first topic is the image registration or alignment, which is to associate corresponding pixels in multiple images to the same physical point in the scene. A trajectory-based method for registering infrared and electro-optic video sequences is proposed in this study. The initial registration parameters are derived from matching the trajectories across the consecutive video frames. Further refinement can be carried out by applying a maximum mutual information approach. The frame difference, from which the feature point is detected, is found with an image structural similarity measurement. The second topic is the implementation of pixel-level fusion. Two applications are considered in this study. Motivated by the adaptive enhancement, a modified pixel-level fusion scheme is proposed to implement the context enhancement. A visual image is first enhanced with the corresponding infrared image. Then, the enhanced image is fused with the visual image again to highlight the background features. This achieves a context enhancement most suitable for human perception. As the application of multi-sensor concealed weapon detection (CWD) is concerned, this thesis clarifies the requirements and concepts for CWD. How the CWD application can benefit from multi-sensor fusion is identified and a framework of multi-sensor CWD is proposed. A solution to synthesize a composite image from infrared and visual image is presented with experimental results. The synthesized image, on one hand provides both the information of personal identification and the suspicious region of concealed weapons; on the other hand implements the privacy protection, which appears to be an important aspect of the CWD process. The third topic is about the fusion performance assessment. In this study, the evaluation metrics are developed for reference-based assessment and blind assessment respectively. An absolute measurement of image features, namely phase congruency, is employed. Future work should include the reliability and optimization study of multiple image sensors from applications' and human perception-related perspectives. This thesis is a contribution to such research.
Author | : Yufeng Zheng (Associate professor) |
Publisher | : |
Total Pages | : 396 |
Release | : 2018 |
Genre | : Computer vision |
ISBN | : 9781510619067 |
Download Multispectral Image Fusion and Colorization Book in PDF, ePub and Kindle
"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"--