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Author : Shunji Miyahara
Publisher :
ISBN 13 :
Total Pages : 183 pages
Book Rating : 4.:/5 (196 download)
Download or read book Automated Radar Target Recognition Based on Models of Neural Nets written by Shunji Miyahara and published by . This book was released on 1987 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Uttam K. Majumder
Publisher : Artech House
ISBN 13 : 1630816396
Total Pages : 290 pages
Book Rating : 4.6/5 (38 download)
Download or read book Deep Learning for Radar and Communications Automatic Target Recognition written by Uttam K. Majumder and published by Artech House. This book was released on 2020-07-31 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: This authoritative resource presents a comprehensive illustration of modern Artificial Intelligence / Machine Learning (AI/ML) technology for radio frequency (RF) data exploitation. It identifies technical challenges, benefits, and directions of deep learning (DL) based object classification using radar data, including synthetic aperture radar (SAR) and high range resolution (HRR) radar. The performance of AI/ML algorithms is provided from an overview of machine learning (ML) theory that includes history, background primer, and examples. Radar data issues of collection, application, and examples for SAR/HRR data and communication signals analysis are discussed. In addition, this book presents practical considerations of deploying such techniques, including performance evaluation, energy-efficient computing, and the future unresolved issues.
Author : Firooz Sadjadi
Publisher : Springer Science & Business Media
ISBN 13 : 0387369430
Total Pages : 269 pages
Book Rating : 4.3/5 (873 download)
Download or read book Physics of Automatic Target Recognition written by Firooz Sadjadi and published by Springer Science & Business Media. This book was released on 2007-09-04 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the roles of sensors, physics–based attributes, classification methods, and performance evaluation in automatic target recognition. It details target classification from small mine–like objects to large tactical vehicles. Also explored in the book are invariants of sensor and transmission transformations, which are crucial in the development of low latency and computationally manageable automatic target recognition systems.
Author : Sevgi Zubeyde Gurbuz
Publisher : SciTech Publishing
ISBN 13 : 1785618520
Total Pages : 419 pages
Book Rating : 4.7/5 (856 download)
Download or read book Deep Neural Network Design for Radar Applications written by Sevgi Zubeyde Gurbuz and published by SciTech Publishing. This book was released on 2020-12-31 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: Novel deep learning approaches are achieving state-of-the-art accuracy in the area of radar target recognition, enabling applications beyond the scope of human-level performance. This book provides an introduction to the unique aspects of machine learning for radar signal processing that any scientist or engineer seeking to apply these technologies ought to be aware of.
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.:/5 (661 download)
Download or read book Automatic Target Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2023-07-04 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: What Is Automatic Target Recognition The capacity of an algorithm or device to detect targets or other objects based on data acquired from sensors is referred to as automatic target recognition, abbreviated as ATR. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Automatic target recognition Chapter 2: Computer vision Chapter 3: Radar Chapter 4: Synthetic-aperture radar Chapter 5: Beamforming Chapter 6: Pulse-Doppler radar Chapter 7: Inverse synthetic-aperture radar Chapter 8: Radar signal characteristics Chapter 9: Time delay neural network Chapter 10: Track algorithm (II) Answering the public top questions about automatic target recognition. (III) Real world examples for the usage of automatic target recognition in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of automatic target recognition' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of automatic target recognition.
Author : Christopher Z. Au
Publisher :
ISBN 13 :
Total Pages : 36 pages
Book Rating : 4.:/5 (119 download)
Download or read book Characterization of Deep Neural Network Feature Space for Inverse Synthetic Aperture Radar Automatic Target Recognition written by Christopher Z. Au and published by . This book was released on 2020 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Airborne Radar Systems and Techniques group at MIT Lincoln Laboratory trained neural networks to classify different targets at sea based on inverse synthetic aperture radar (ISAR) data. Simulated data was used to train these neural network based automatic target recognition (ATR) systems. The technical challenge of this project was to find a way to evaluate the quality and adequacy of a limited set of training data. Using simulated ISAR images to train neural networks, the project determined the minimum amount of variation in terms of parameters such as aspect angle to adequately train a neural network. Establishing a correspondence between training data variation and the resulting feature space of the data informed the minimum spanning-set of training data required for future data collects.
Author : David Blacknell
Publisher : IET
ISBN 13 : 1849196850
Total Pages : 292 pages
Book Rating : 4.8/5 (491 download)
Download or read book Radar Automatic Target Recognition (ATR) and Non-Cooperative Target Recognition (NCTR) written by David Blacknell and published by IET. This book was released on 2013-08-23 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radar Automatic Target Recognition (ATR) and NonCooperative Target Recognition (NCTR) captures material presented by leading international experts at a NATO lecture series and explores both the fundamentals of classification techniques applied to data from a variety of radar modes and selected advanced techniques at the forefront of research. The ability to detect and locate targets by day or night, over wide areas, regardless of weather conditions has long made radar a key sensor in many military and civil applications. However, the ability to automatically and reliably distinguish different targets represents a difficult challenge, although steady progress has been made over the past couple of decades. This book explores both the fundamentals of classification techniques applied to data from a variety of radar modes and selected advanced techniques at the forefront of research. Topics include: the problem as applied to the ground, air and maritime domains; impact of image quality on the overall target recognition performance; performance of different approaches to the classifier algorithm; improvement in performance to be gained when a target can be viewed from more than one perspective; ways in which natural systems perform target recognition; impact of compressive sensing; advances in change detection, including coherent change detection; and challenges and directions for future research.
Author :
Publisher :
ISBN 13 :
Total Pages : 704 pages
Book Rating : 4.:/5 (31 download)
Download or read book Scientific and Technical Aerospace Reports written by and published by . This book was released on 1995 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Kevin Michael Olson
Publisher :
ISBN 13 :
Total Pages : 214 pages
Book Rating : 4.:/5 (349 download)
Download or read book Automatic Target Recognition of Ground Vehicles Using Synthetic Aperture Radar with Statistical and Neural Network Approaches to Classification written by Kevin Michael Olson and published by . This book was released on 1996 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Publisher :
ISBN 13 :
Total Pages : 438 pages
Book Rating : 4.3/5 (91 download)
Download or read book Automatic Target Recognition written by and published by . This book was released on 2007 with total page 438 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Fouad Sabry
Publisher : One Billion Knowledgeable
ISBN 13 :
Total Pages : 193 pages
Book Rating : 4.:/5 (661 download)
Download or read book Automatic Target Recognition written by Fouad Sabry and published by One Billion Knowledgeable. This book was released on 2024-05-04 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is Automatic Target Recognition The capacity of an algorithm or device to recognize targets or other objects based on data acquired from sensors is referred to as automatic target recognition, an abbreviation for these capabilities. How you will benefit (I) Insights, and validations about the following topics: Chapter 1: Automatic Target Recognition Chapter 2: Computer Vision Chapter 3: Radar Chapter 4: Doppler Radar Chapter 5: Synthetic-aperture Radar Chapter 6: Imaging Radar Chapter 7: Beamforming Chapter 8: Pulse-Doppler Radar Chapter 9: Passive Radar Chapter 10: Inverse Synthetic-aperture Radar (II) Answering the public top questions about automatic target recognition. (III) Real world examples for the usage of automatic target recognition in many fields. Who this book is for Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of Automatic Target Recognition.
Author : Semir Zeki
Publisher : Wiley-Blackwell
ISBN 13 : 9781444314007
Total Pages : 380 pages
Book Rating : 4.3/5 (14 download)
Download or read book A Vision of the Brain written by Semir Zeki and published by Wiley-Blackwell. This book was released on 2010-01-15 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Authored by one of the world's foremost authorities on the biology of the brain. * Illustrated in two colours throughout. * Contains a section of full-colour graphics. * A benchmark text for students and researchers alike. .
Author : Angelo Coluccia
Publisher : Artech House
ISBN 13 : 1630819018
Total Pages : 235 pages
Book Rating : 4.6/5 (38 download)
Download or read book Adaptive Radar Detection: Model-Based, Data-Driven and Hybrid Approaches written by Angelo Coluccia and published by Artech House. This book was released on 2022-11-30 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book shows you how to adopt data-driven techniques for the problem of radar detection, both per se and in combination with model-based approaches. In particular, the focus is on space-time adaptive target detection against a background of interference consisting of clutter, possible jammers, and noise. It is a handy, concise reference for many classic (model-based) adaptive radar detection schemes as well as the most popular machine learning techniques (including deep neural networks) and helps you identify suitable data-driven approaches for radar detection and the main related issues. You’ll learn how data-driven tools relate to, and can be coupled or hybridized with, traditional adaptive detection statistics; understand fundamental concepts, schemes, and algorithms from statistical learning, classification, and neural networks domains. The book also walks you through how these concepts and schemes have been adapted for the problem of radar detection in the literature and provides you with a methodological guide for the design, illustrating different possible strategies. You’ll be equipped to develop a unified view, under which you can exploit the new possibilities of the data-driven approach even using simulated data. This book is an excellent resource for Radar professionals and industrial researchers, postgraduate students in electrical engineering and the academic community.
Author :
Publisher :
ISBN 13 :
Total Pages : 95 pages
Book Rating : 4.:/5 (227 download)
Download or read book Neuromorphic Optical Signal Processing and Image Understanding for Automated Target Recognition written by and published by . This book was released on 1989 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of research described in this report is study of computation and learning in neural net models and demonstration of their utility in image understanding and neuromorphic information processing systems for remote sensing and target identification. The approach to achieving this goal has two facets. One is combining innovative architectures and methodologies with suitable algorithms to exploit existing and emerging photonic technology in the implementation of large-scale neurocomputers for use in: (a) the study of complex self-organizing and learning systems, (b) fast solution of optimization problems, (c) feature extraction, (formation of object representation), and (d) pattern recognition. The second facet of the approach is to demonstrate and assess the capabilities of neuromorphic processing in solution of selected inverse-scattering and recognition problems. The problem we have chosen to study as test bed for our work is that of automated radar target recognition because of our existing capabilities and expertise in this area.
Author : Stephen L. Johnston
Publisher :
ISBN 13 :
Total Pages : 686 pages
Book Rating : 4.F/5 ( download)
Download or read book Millimeter Wave Radar written by Stephen L. Johnston and published by . This book was released on 1980 with total page 686 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Joel S. Kvitky
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.X/5 (4 download)
Download or read book Trends in Recognition Technology written by Joel S. Kvitky and published by . This book was released on 1997 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Avik Santra
Publisher : Artech House
ISBN 13 : 1630817473
Total Pages : 358 pages
Book Rating : 4.6/5 (38 download)
Download or read book Deep Learning Applications of Short-Range Radars written by Avik Santra and published by Artech House. This book was released on 2020-09-30 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This exciting new resource covers various emerging applications of short range radars, including people counting and tracking, gesture sensing, human activity recognition, air-drawing, material classification, object classification, vital sensing by extracting features such as range-Doppler Images (RDI), range-cross range images, Doppler Spectrogram or directly feeding raw ADC data to the classifiers. The book also presents how deep learning architectures are replacing conventional radar signal processing pipelines enabling new applications and results. It describes how deep convolutional neural networks (DCNN), long-short term memory (LSTM), feedforward networks, regularization, optimization algorithms, connectionist This exciting new resource presents emerging applications of artificial intelligence and deep learning in short-range radar. The book covers applications ranging from industrial, consumer space to emerging automotive applications. The book presents several human-machine interface (HMI) applications, such as gesture recognition and sensing, human activity classification, air-writing, material classification, vital sensing, people sensing, people counting, people localization and in-cabin automotive occupancy and smart trunk opening. The underpinnings of deep learning are explored, outlining the history of neural networks and the optimization algorithms to train them. Modern deep convolutional neural network (DCNN), popular DCNN architectures for computer vision and their features are also introduced. The book presents other deep learning architectures, such as long-short term memory (LSTM), auto-encoders, variational auto-encoders (VAE), and generative adversarial networks (GAN). The application of human activity recognition as well as the application of air-writing using a network of short-range radars are outlined. This book demonstrates and highlights how deep learning is enabling several advanced industrial, consumer and in-cabin applications of short-range radars, which weren't otherwise possible. It illustrates various advanced applications, their respective challenges, and how they are been addressed using different deep learning architectures and algorithms.
