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Hybrid system for automatic target recognition

Proceedings of SPIE - The International Society for Optical Engineering 1994年 2269卷 280-291页

作者： Eustache, Erik Gingras, Denis J. Poussart, Denis Natl. Optics Inst. St.e-Foy PQ Can

ISBN: (纸本)0819415936;9780819415936

A hybrid system is proposed for automatic target recognition. The system developed consists of an optical module and an electronic/computer module. The electronic module uses a DatacubeTM image processing system to carry out real-time filtering, detection, and segmentation operations. The optical module is composed of two LCTVs (liquid crystal television), a He-Ne laser, a collimator, and a CCD camera. This module calculates specific energy spectra in the Fourier plane of a potential target identified by the electronic module. These values are fed in a neural network implemented on Sun SPARC 10TM model 41 for the classification of the current target. Experimental results involving special classes of target and their distribution in the features space are presented.

关键词： Pattern recognition

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COMMERCIAL APPLICATIONS FOR THERMAL IMAGING INSTRUMENTS, AN UPDATE

COMMERCIAL APPLICATIONS FOR THERMAL IMAGING INSTRUMENTS, AN ...

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20th infrared technology Conference

作者： KAPLAN, H HONEYHILL TECHN CO NORWALKCT 06855

ISBN: (纸本)0819415936

infrared thermal imaging instruments were originally developed by the military for passive night vision and surveillance and, subsequently, found applications in weapons aiming and target tracking. Commercial applications for this technology dictate different rules and place different emphasis on instrument configuration and performance characteristics. This paper begins with a performance comparison between military night vision systems and typical commercial imaging radiometers, including packaging, configuration and features. An overview classification of recent and current commercial applications follows, including a more detailed description of a few of the more unusual and innovative solutions. Finally, a glimpse of the near future is offered, based on the most recent developments in detector/technology, equipment packaging and imaging diagnostic software.

关键词： Thermography Imaging systems infrared imaging Staring arrays infrared radiation Sensors Temperature metrology Lamps target detection Radiometry

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HYBRID SYSTEM FOR AUTOMATIC target RECOGNITION

HYBRID SYSTEM FOR AUTOMATIC TARGET RECOGNITION

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20th infrared technology Conference

作者： EUSTACHE, E GINGRAS, D POUSSART, D NATL OPT INST ST FOYPQ G1P 4N8CANADA

ISBN: (纸本)0819415936

A hybrid system is proposed for automatic target recognition. The system developed consists of an optical module and an electronic/computer module. The electronic module uses a Datacube^TM image processing system to carry out real-time filtering, detection, and segmentation operations. The optical module is composed of two LCTVs (liquid crystal television), a He-Ne laser, a collimator, and a CCD camera. This module calculates specific energy spectra in the Fourier plane of a potential target identified by the electronic module. These values are fed in a neural network implemented on Sun SPARC 10^TM model 41 for the classification of the current target. Experimental results involving special classes of target and their distribution in the features space are presented.

关键词： AUTOMATIC target RECOGNITION OPTICAL FEATURES EXTRACTION LIQUID CRYSTAL TELEVISION NEURAL NETWORKS REAL-TIME IMAGE PROCESSING

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SHIP SELF-DEFENSE PERFORMANCE ASSESSMENT METHODOLOGY

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NAVAL ENGINEERS JOURNAL 1994年第3期106卷 208-219页

作者： POLK, J MCCANTS, T GRABAREK, R James Polk:is currently a principal financial and technical advisor for PRC Inc. He is working in support of PEO (TAD) Ship Self-Defense Program in several areas including performance assessment. He retired from the Navy in 1991 after several years at sea and various material command assignment including command of Caron (DD-970) and Aegis technical director. He is an ASNE Member who has an MS in physics from the Naval Postgraduate School. He graduated from the University of Notre Dame with a BS in civil engineering and earned his commission through the NROTC program there. Thomas H. McCants Jr.:is currently a principal system engineer in the ship defense department of the Naval Surface Warfare Center Dahlgren Division. He is supporting the PEO (TAD) in systems engineering and analysis and is supporting the Office of Naval Research in a 6.2 Ship Self-Defense program. He was previously the lead lab program manager for STANDARD Missile led the Aegis Systems Analysis and T&E organization at NSWC was Phalanx CIWS lead lab program manager and was the air target vulnerability program manager at the Center. In 1977–78 Mr. McCants was the NSAP science advisor to COMOPTEVFOR Norfolk. He graduated from VPI&SU with a BS in aerospace engineering and is pursuing a MS in systems engineering from VPI&SU. Robert Grabarek:is currently an electronics engineer in the requirements and analysis branch of the Ship Self-Defense Program Office. He is a 1981 graduate of the U.S. Naval Academy and served six years on active duty as a surface warfare officer. He has earned his MA in operations research and industrial engineering from VPI&SU.

Robust ship AAW defense capability is a priority requirement that enables Naval Forces to conduct joint expeditionary force operations in littoral environments. As an aid to achieving this capability for all ship classes, the Navy has reorganized its management of ship defense. A major focus of these efforts is the development of a fully automatic, integrated combat system for non-Aegis ships which is based on coordinated detection, control, and hard kill/electronic warfare (HK/EW) engagement functions. A phased approach to attaining this fully integrated capability has been established which includes major element upgrade introduction when technology and budget permit. This paper describes the ship self-defense performance assessment methodology which has been adopted to support the review and decision process for future planning and budgeting. This process is a continuation and refinement of that used to provide data for the Office of the Secretary of Defense Fall 1991 Conventional Systems Committee Ship Self-Defense Review. The performance assessment methodology starts with definition of survivability requirements by ship class, combat system configurations, Anti-Ship Missile threat, and operational scenario. Viable self-defense system element options are then identified. The capability of these options are then characterized for input into ship level performance prediction models. Three partitions of performance prediction modeling are made: hard kill elements only, electronic warfare element only, and integrated HK/EW. The most significant accomplishment of this effort, beyond providing data to support programmatic decision, has been the creation of a truly integrated HK/EW surface ship combat system model that interleaves HK and EW timelines and allows parametric variation to evaluate options. Because of classification, only generic examples of numerical result will be presented. However, the procedures for establishing the modelling process, prioritization of

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MITAS - MULTISENSOR IMAGING technology FOR AIRBORNE SURVEILLANCE

MITAS - MULTISENSOR IMAGING TECHNOLOGY FOR AIRBORNE SURVEILL...

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CONF ON DATA STRUCTURES AND target classification

作者： THOMAS, J TAU Corp. (United States)

ISBN: (纸本)0819405795

MITAS, a unique and low-cost solution to the problem of collecting and processing multisensor imaging data for airborne surveillance operations has been developed, MITAS results from integrating the established and proven real-time video processing, target tracking, and sensor management software of TAU with commercially available image exploitation and map processing software. The MITAS image analysis station (IAS) supports airborne day/night reconnaissance and surveillance missions involving low-altitude collection platforms employing a suite of sensors to perform reconnaissance functions against a variety of ground and sea targets. The system will detect, locate, and recognize threats likely to be encountered in support of counternarcotic operations and in low-intensity conflict areas. The IAS is capable of autonomous, near real-time target exploitation and has the appropriate communication links to remotely located IAS systems for more extended analysis of sensor data. The IAS supports the collection, fusion, and processing of three main imaging sensors: daylight imagery (DIS), forward looking infrared (FLIR), and infrared line scan (IRLS). The MITAS IAS provides support to all aspects of the airborne surveillance mission, including sensor control, real-time image enhancement, automatic target tracking, sensor fusion, freeze-frame capture, image exploitation, target data-base management, map processing, remote image transmission, and report generation.

关键词： Sensors Image processing Video Video processing Image enhancement Distributed interactive simulations Forward looking infrared IRIS Consortium target detection Image sensors

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Joint Transform correlation for invariant target recognition

Joint Transform correlation for invariant target recognition

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Hybrid Image and Signal Processing II

作者： Rogers, Steven K. Cline, John D. Kabrisky, Matthew Mills, James P. Air Force Inst of Technology Wright United States

ISBN: (纸本)0819403482

In this paper, the application of Joint Transform Correlator (JTC) techniques for use in automatic target recognition using actual sensor data is addressed. The problem of interest is the detection and classification of objects in forward looking infrared (FLIR) images. A Joint Transform Correlator architecture using a single magneto-optical spatial light modulator (MOSLM) and a charge coupled device (CCD) camera is designed and tested. A unique technique for binarizing the fringe pattern, commonly called the joint transform power spectrum (JTPS), that enhances the application to actual sensor images is presented. The modification of the architecture to allow for scale and rotation invariant target recognition is also presented.

关键词： Pattern Recognition

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detection and classification of target formations in infrared image sequences

Detection and classification of target formations in infrare...

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Imaging infrared: Scene Simulation, Modeling, and Real Image Tracking

作者： Bronskill, John F. Hepburn, John S.A. Au, Wing K. Advanced Technology Cent Canada

This paper describes a knowledge-based approach to the detection and classification of ground-based military target formations in infrared (IR) image sequences at long range from an airborne platform. The motivation for this approach is that at long range military vehicle targets in IR imagery typically consists of only a few pixels, have low contrast and exist in a high clutter environment making reliable detection, classification or identification of individual targets extremely difficult. Thus, the system detailed here detects targets based on their membership in a military target formation or convoy, relying on the structure or spatial organization of the formation and not individual target signatures. The system consists of two major components;Point target detection and Tracking (PTD);and Knowledge-Based Constraint Hierarchical target Formation detection and classification (TFD). The first component detects and tracks both stationary and moving point targets which are passed on as candidates for clustering into target formations by a rule-based matching process in the second component.

关键词： infrared Imaging

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A knowledge-based approach to the detection, tracking and classification of target formations in infrared image sequences

A knowledge-based approach to the detection, tracking and cl...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： J.F. Bronskill J.S.A. Hepburn W.K. Au Advanced Technology Centre Honeywell Limited Markham ONT Canada Systems and Research Center Honeywell Inc. Minneapolis MN USA

A knowledge-based approach to the detection, tracking, and classification of ground-based formations of point targets in sequences of digitized forward-looking infrared (FLIR) image sequences is presented. The system has two components: a point target detector and tracker (PTD) which processes the image sequences and supplies candidate point targets to the knowledge-based target formation detector for clustering into formations, which are then classified as linear, V, and the like. The system has been implemented in software written in C and Common Lisp and evaluated on a variety of FLIR image sequences. The results indicate that, in all cases, the knowledge base improves system performance over that attained by the PTD alone.< >

关键词： target tracking infrared detectors Image sequences Sensor phenomena and characterization infrared image sensors Radar tracking Object detection Libraries infrared imaging System performance

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IR-DETECTOR-TYPES FOR SHORT DISTANCE SEEKER AMMUNITION APPLICATION

IR-DETECTOR-TYPES FOR SHORT DISTANCE SEEKER AMMUNITION APPLI...

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15TH ANNUAL CONF ON infrared technology

作者： PLEIKIES, R WITTMER, D LINDNER, FW DIEHL GmbH & Co. (Federal Republic of Germany)

ISBN: (纸本)0819401935

A significant improvement in performance of classical ammunition has become possible by using intelligent fuzes. For short target distance applications the use of Single or Dual Mode IR-Sensors has become state of the art. Excessive requirements to both axial and radial g-load arise from the fact that the sensor, normally positioned excentrically relative to shells rotating axis, has to withstand the cannon launch. High requirements on temperature stability, microphonic noise insensitivity and cross talk are essential for high sensor performance. The response has to be stable over an extended temperature range from -46 degrees C to +63 degrees C. Insensitivity against microphony prevents mechanical vibration induced reduction of sensor signal noise ratio, and low detector element cross talk guarantees high spatial resolution and therefore target classification. In addition, by means of a 20-year wooden round concept, there is a strong requirement for long-term stability. The choice of detector material and operation temperature is essentially determined by cost effectivness. All the requirements mentioned above can be met with different results depending on different detector materials. The usability of some detector materials for intelligent ammunition application has been investigated comparatively by theory and experiments. In a feasibility study different pyroelectrics, thermic detectors, as well as the photonic detectors (thermoelectrically cooled photo conductors), lead sulfide (PbSe) and mercury cadmium telluride (MCT), have been compared.

关键词： Sensors Signal to noise ratio infrared sensors pyroelectric detectors Signal detection Photodetectors infrared technology Interference (communication) Sensor performance Temperature metrology

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target recognition: Conventional and neural network approaches

Target recognition: Conventional and neural network approach...

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IJCNN International Joint Conference on Neural Networks

作者： Ruck, Dennis W. Rogers, Steven K. Kabrisky, Matthew Mills, James P. US Air Force Inst of Technol Dep of Electr & Comput Eng Wright-Patterson AFB OH USA

Summary form only given. The application of both conventional and neural network methods to actual sensor data for target recognition is addressed. The problem of interest is the detection and classification of objects in multisensor images. The types of images used are forward looking infrared (FLIR), absolute and relative range, and doppler. First, conventional approaches to target recognition used at the Air Force Institute of technology (AFIT) are reviewed. Next, the application of neural networks to target recognition at AFIT is examined. Two classification tests are reported. In the first, the task is to label an object either target or nontarget. The neural network approach achieved 89% accuracy on the training data and was 75% correct on the test data. In the second test, the network learns to classify objects as either tank, truck, or armored personnel carrier. An accuracy of 98% on the training data was recorded and 85% on the test set. Improvements on the standard backpropagation training rule are also reported. A method which varies the step size in gradient descent is examined. A second-order method is also examined and compared to the standard backpropagation algorithm.

关键词： Radar

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