Download or read book Automatic Target Recognition ATR and Tracking Using Fused Forward Looking Infrared FLIR and Laser Detection and Ranging LADAR for Air to air Missiles written by Gavin Rhys Melvin Powell and published by . This book was released on 2003 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Index to Theses with Abstracts Accepted for Higher Degrees by the Universities of Great Britain and Ireland and the Council for National Academic Awards written by and published by . This book was released on 2006 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book The Aeronautical Journal written by and published by . This book was released on 1998 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Active and Attentive Laser Detection and Ranging ladar Scanning for Automatic Target Recognition written by Michael Todd Mamanakis and published by . This book was released on 2007 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
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:
Download or read book Automatic Target Recognition written by Bruce Jay Schachter and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A reference design is provided for a next-generation ATR that can continuously learn from and adapt to its environment. The convergence of diverse forms of data on a single platform supports new capabilities and improved performance. This third edition broadens the notion of ATR to multisensor fusion. Radical continuous-learning ATR architectures, better integration of data sources, well-packaged sensors, and low-power teraflop chips will enable transformative military designs"--
Download or read book Automatic Target Recognition Using a Modular Neural Network written by Lin-Cheng Wang and published by . This book was released on 1998 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: A modular neural network classifier has been applied to the problem of automatic target recognition (ATR) of targets in forward-looking infrared (FLIR) imagery. The classifier consists of several independently trained neural networks operating on features extracted from a local portion of a target image. The classification decisions of the individual networks are combined to determine the final classification. Experiments show that decomposition of the input features results in performance superior to a fully connected network in terms of both network complexity and probability of classification. The classifier's performance is further improved by the use of multiresolution features and by the introduction of a higher level neural network on top of the expert networks, a method known as stacked generalization. In addition to feature decomposition, we implemented a data decomposition classifier network and demonstrated improved performance. Experimental results are reported on a large set of FLIR images.
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.
Download or read book Automatic Target Recognition XX Acquisition Tracking Pointing and Laser Systems Technologies XXIV and Optical Pattern Recognition XXI written by Firooz A. Sadjadi and published by . This book was released on 2010 with total page 1842 pages. Available in PDF, EPUB and Kindle. Book excerpt: Includes Proceedings Vol. 7821
Download or read book Enhanced Tracking of Ballistic Targets Using Forward Looking Infrared Measurements written by and published by . This book was released on 1989 with total page 363 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis is an extension of earlier work performed at AFIT towards tracking airborne targets using FLIR measurements. The research has aimed at replacing a standard correlation tracker with a hybrid Kalman filter/enhanced correlation tracker for implementation in a high energy laser weapon. In this thesis the target trajectory being tracked is modelled as a benign, non- maneuvering, thrusting ballistic missile trajectory at large sensor-to-target ranges. To capture the characteristic shape of the exhaust plume, the plume is modelled as the difference between two bivariate Gaussian functions with elliptical equal intensity contours. As the missile ascends on its thrusting trajectory, the exhaust plume tends to oscillate (pogo) along the direction of the velocity vector. In this thesis, a second-order Gauss-Markov process is used to model the plume's 'pogo' oscillation properties. The ultimate goal is to design a multiple model adaptive filter (MMAF) algorithm composed of elemental filters tuned for varying plume pogo parameters (frequency and amplitude characteristics). This MMAF accounts for atmospheric disturbance effects of the propagating infrared wave fronts, as well as bending/vibrational effects of the optical hardware associated with the FLIR sensor. The bank of filters provide the accurate estimation capability to guide the pointing mechanism of a shared aperture laser/FLIR sensor. Keywords: Infrared tracking correlation algorithms, Guided missile tracking, Laser tracking, Kalman filtering.
Download or read book Automatic Target Recognition written by Bruce Jay Schachter and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "From an engineer designing Automatic Target Recognition (ATR) systems for 40 years, comes this step-by-step guide to producing state-of-the-art ATR systems. The full spectrum of ATR designs are covered, from systems that just suggest targets to the warfighter to ATRs that could serve as the "brains" of lethal autonomous robots. Unfortunately, when it comes to ATR, some practitioners claim that their off-the-shelf canned algorithms magically leap from academic research to deployment with scant domain knowledge or system engineering. Deep learning is marketed more than deep understanding, deep explainability or deep fusion of on-platform resources. Naïve practitioners twist a few algorithmic knobs, and test on data of uncertain virtue, until performance seems superb. Unfortunately, with the enemy and ever changing environment conspiring to defeat detection and recognition, naively designed ATRs can fail in unexpected and spectacular ways. Trustworthy ATRs need to fuse multiple data and metadata sources, continuously learn from and adapt to their environment, interact with humans in natural language, and deal with in-library and out-of-library targets and confusor objects. This book provides a blueprint for smarter, more autonomous, more sophisticated ATR designs"--
Download or read book Enhanced Tracking of Airborne Targets Using Forward Looking Infrared and Laser Return Measurements written by Patrick J. Grondin and published by . This book was released on 1993 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Air Force Institute of Technology has been involved in developing Kalman filter based trackers of ballistic missiles for 15 years. The goal of this thesis is to develop a Multiple Model Adaptive Estimator (MMAE) that tracks the missile plume (using a forward looking infrared sensor) and the missile hardbody center-of-mass (additionally using low energy laser returns) for the purpose of directing a high power laser to incapacitate the missile. The missile plume 'pogos' about an offset equilibrium point (relative to the hardbody center-of-mass) with an amplitude and frequency of oscillation that are not precisely known a priori. The MMAE algorithm estimates these parameters to improve performance in tracking the hardbody center-of-mass. To accomplish this MMAE structure, single Kalman filters were developed and tested at the different parameter values. A Kalman filter residual analysis was used on these working single filters to define the MMAE structure that provided the most effective adaptation and most accurate target tracking. A three-filter MMAE structure gave the lowest hardbody center-of-mass tracking errors. The two-dimensional parameter space, pogo amplitude and frequency, was successfully partitioned according to the frequency of oscillation. When the plume pogo amplitude is large, the MMAE structure substantially reduces the tracking errors of the hardbody center-of-mass, compared to a tracker without adaptive pogo estimation. Kalman filter, Tracking, Infrared, Doppler, Laser.
Download or read book Multisensor Fusion Using FLIR and LADAR Identification written by and published by . This book was released on 1997 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: The primary objective of this project was to provide the Surrogate Semiautonomous Vehicle (SSV) with a Demonstration II capability of performing automatic target recognition/identification (ATR/I). Detected objects of interest would be imaged with FLIR and/or LADAR sensors so the ATR/I algorithms must be compatible with either sensor, as well as exploit the synergy of processing both sensors simultaneously. Our approach does not rely upon the precise coregistration of multiple sensors, but rather performs geometric hashing on the individual FLIR and LADAR images. Hashing represents an object by a collection of points, which are then matched to similarly constructed models. The matching is accomplished by iteratively selecting pairs of points, placing them in a Euclidean geometry coordinate system, concurrently translating and rotating all other object points to the same geometry, and then counting the number of occurrences of object and model points in the same cell. The geometric hashing software, originally developed for 2D SAR and FLIR imagery has been extended to also accommodate 3D Ladar range and intensity imagery. The 2D hashing software was modified to allow up to ten dimensions. Currently, a 4D scheme is being used which represents (x, y) position, range, and intensity features.
Download or read book Robust automatic target recognition in second generation forward looking infrared images written by Dinesh R. Nair and published by . This book was released on 1996 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Automatic Target Recognition written by Bruce Jay Schachter and published by . This book was released on 2018 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This third edition of Automatic Target Recognition provides a roadmap for breakthrough ATR designs with increased intelligence, performance, and autonomy. Clear distinctions are made between military problems and comparable commercial Deep Learning problems. These considerations need to be understood by ATR engineers working in the defense industry as well as by their government customers. A reference design is provided for a next-generation ATR that can continuously learn from and adapt to its environment. The convergence of diverse forms of data on a single platform supports new capabilities and improved performance. This third edition broadens the notion of ATR to multisensor fusion. Radical continuous-learning ATR architectures, better integration of data sources, well-packaged sensors, and low-power teraflop chips will enable transformative military designs"--
Download or read book Enhanced Tracking of Airborne Targets Using Forward Looking Infrared Measurements written by Steven Keith Rogers and published by . This book was released on 1981 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considerable work has been accomplished at AFIT (Armed Forces Institute of Technology) in the last three years to improve the tracking capability of the high energy laser weapon. The improvements were achieved via use of an adaptive extended Kalman filter algorithm. In this research, work is initiated on a tracker able to handle 'multiple hot spot' targets, in which digital signal processing is employed on the FLIR data to identify the underlying target shape. This identified shape is then used in the measurement model portion of the filter as it estimates target offset from the center of the field-of-view. Two tracking algorithms are developed. The first algorithm uses an extended Kalman filter to process the intensity measurements form a FLIR to produce target position estimates. The second algorithm uses a linear Kalman filter to process the position estimates of an improved correlation algorithm. This algorithm is improved over standard correlators by using thresholding to eliminate poor correlation information, dynamic information from the Kalman filter and it also uses the on-line derived target shape. (Author).
Download or read book FLIR LADAR Fusion for Target Identification written by and published by . This book was released on 1996 with total page 55 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rockwell International's objective was to develop a robust and state of the art FLIR/LADAR target detection and identification system for the reconnaissance, surveillance, and target acquisition program. The algorithm suite was to be integrated into the Unmanned Ground Vehicle (UGV) platform. But due to program changes such as the late availability of the LADAR sensor unit and funding restrictions in calendar year 1996, the primary goal was able to be addressed in this contract. This report document the major successes and conclusions that were obtained in the process. Rockwell's major successes during the contract period are: Developed a new FLIR/LADAR ATD/I Framework: A foundation for an innovative ATD/R/I system was developed for others to use. The new approach incorporates state of the art techniques such as FLIR/LADAR feature level fusion with clutter suppression and hierarchical classification algorithms. Developed FLIR-Based Background Suppression Software. It incorporated many of the FLIR-based background suppression ideas in this report. During the process of planning, research, and the development of algorithms towards the objective, the following conclusions were reached: To obtain high detection, low false-alarm rates, and robust identification of targets, one must deal with background suppression at the onset. It must be integrated into any planned ATD/R/I system. Ground rules must be established on the difference between targets and clutter objects. Humans recognize objects first as categorical levels. Hierarchical classification techniques that were developed under this contract, learn categorically. The approach shows much promise in advancing ATD/I technology. Fusing FLIR and LADAR data into a common feature vector as discussed in this report is a powerful method in exploiting the input data.
