Physics Of Automatic Target Recognition

DOWNLOAD

Download Physics Of Automatic Target Recognition PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Physics Of Automatic Target Recognition book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page

Physics Of Automatic Target Recognition

DOWNLOAD
Author : Firooz Sadjadi
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-04

Physics Of Automatic Target Recognition written by Firooz Sadjadi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-04 with Science categories.

The Physics of Automatic Target Recognition is part of a series focusing on Advanced Sciences and Technologies for Security Applications. This book will address the fundamental physical bases of sensing, and information extraction in the state-of-the art automatic target recognition field. We will explore both passive and active multispectral sensing, polarimetric diversity, complex signature exploitation, sensor and processing adaptation, transformation of electromagnetic and acoustic waves in their interactions with targets, background clutter, transmission media, and sensing elements. The general inverse scattering, and advanced signal processing techniques and scientific evaluation methodologies being used in this multi disciplinary field will be part of this exposition. The issues of modeling of target signatures in various spectral modalities, LADAR, IR, SAR, high resolution radar, acoustic, seismic, visible, hyperspectral, in diverse geometric aspects will be addressed. The problem of clutter modeling from a physics point of view will be also explored. The methods for signal processing and classification will cover concepts such as sensor adaptive and artificial neural networks, time reversal filter. The issue of invariants of sensor and transmission transformations (geometrical, spectral and polarimetric invariants) will be explored . These invariants are crucial in the development of low latency and computationally manageable ATR systems. The book will address the issue of transformations that a signal goes through in its interactions with targets and background, in its passage through a medium and its final reception by a sensor. It is only through understanding these transformations that one can hope in addressing the inverse problem: the identification of originating sources of a signal (target recognition). Advanced Sciences and Technologies for Security Applications focuses on research monographs in the areas of -Recognition and identification (including optical imaging, biometrics, authentication, verification, and smart surveillance systems) -Biological and chemical threat detection (including biosensors, aerosols, materials detection and forensics) -Secure information systems (including encryption, and optical and photonic systems). The series is intended to give an overview at the highest research level at the frontier of research in the physical sciences.

Automatic Target Recognition

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 2004

Automatic Target Recognition written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Image processing categories.

Signal Processing For Intelligent Sensor Systems

DOWNLOAD
Author : David C. Swanson
language : en
Publisher: CRC Press
Release Date : 2000-04-18

Signal Processing For Intelligent Sensor Systems written by David C. Swanson and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-18 with Technology & Engineering categories.

"Integrates a broad range of physics, algorithms, and sensing techniques for development of intelligent systems. Highlights adaptive least-squared error modeling. Covers complex sampling, physical system modeling using digital filters, frequency domain processing, beamforming, and much more."

Dynamic Data Driven Applications Systems

DOWNLOAD
Author : Erik Blasch
language : en
Publisher: Springer Nature
Release Date : 2024-02-26

Dynamic Data Driven Applications Systems written by Erik Blasch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-26 with Computers categories.

This book constitutes the refereed proceedings of the 4th International Conference on Dynamic Data Driven Applications Systems, DDDAS 2022, which took place in Cambridge, MA, USA, during October 6–10, 2022. The 31 regular papers in the main track and 5 regular papers from the Wildfires panel, as well as one workshop paper, were carefully reviewed and selected for inclusion in the book. They were organized in following topical sections: DDAS2022 Main-Track Plenary Presentations; Keynotes; DDDAS2022 Main-Track: Wildfires Panel; Workshop on Climate, Life, Earth, Planets.

Automatic Target Recognition Viii

DOWNLOAD
Author : Firooz A. Sadjadi
language : en
Publisher: SPIE-International Society for Optical Engineering
Release Date : 1998

Automatic Target Recognition Viii written by Firooz A. Sadjadi and has been published by SPIE-International Society for Optical Engineering this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Computers categories.

This work explores automatic target recognition (ATR). It is divided into sections which look at topics such as: advanced systems for ATR, including airborne video surveillance; multisensor ATR; and adaptive and learning techniques for ATR.

Distributed Data Fusion For Network Centric Operations

DOWNLOAD
Author : David Hall
language : en
Publisher: CRC Press
Release Date : 2012-11-14

Distributed Data Fusion For Network Centric Operations written by David Hall and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-14 with Computers categories.

With the recent proliferation of service-oriented architectures (SOA), cloud computing technologies, and distributed-interconnected systems, distributed fusion is taking on a larger role in a variety of applications—from environmental monitoring and crisis management to intelligent buildings and defense. Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the state of the art of data fusion in a distributed sensing, communications, and computing environment. Get Insight into Designing and Implementing Data Fusion in a Distributed Network Addressing the entirety of information fusion, the contributors cover everything from signal and image processing, through estimation, to situation awareness. In particular, the work offers a timely look at the issues and solutions involving fusion within a distributed network enterprise. These include critical design problems, such as how to maintain a pedigree of agents or nodes that receive information, provide their contribution to the dataset, and pass to other network components. The book also tackles dynamic data sharing within a network-centric enterprise, distributed fusion effects on state estimation, graph-theoretic methods to optimize fusion performance, human engineering factors, and computer ontologies for higher levels of situation assessment. A comprehensive introduction to this emerging field and its challenges, the book explores how data fusion can be used within grid, distributed, and cloud computing architectures. Bringing together both theoretical and applied research perspectives, this is a valuable reference for fusion researchers and practitioners. It offers guidance and insight for those working on the complex issues of designing and implementing distributed, decentralized information fusion.

Infrared Small Target Detection

DOWNLOAD
Author : Hu Zhu
language : en
Publisher: Springer Nature
Release Date : 2024-03-29

Infrared Small Target Detection written by Hu Zhu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-29 with Computers categories.

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.

Program Solicitation

DOWNLOAD
Author :
language : en
Publisher:
Release Date : 1997

Program Solicitation written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997 with Military research categories.

Dynamic Data Driven Applications Systems

DOWNLOAD
Author : Frederica Darema
language : en
Publisher: Springer Nature
Release Date : 2020-11-02

Dynamic Data Driven Applications Systems written by Frederica Darema and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Computers categories.

This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020. The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based systems analysis; imaging methods and systems; and learning systems.

Deep Learning For Radar And Communications Automatic Target Recognition

DOWNLOAD
Author : Uttam K. Majumder
language : en
Publisher: Artech House
Release Date : 2020-07-31

Deep Learning For Radar And Communications Automatic Target Recognition written by Uttam K. Majumder and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-31 with Technology & Engineering categories.

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.