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Automated military unit identification in battlefield simulation

Automated military unit identification in battlefield simula...

引用

Conference on Automatic Target Recognition VII

作者： Stroud, PD Gordon, RC Los Alamos National Lab. (United States)

ISBN: (纸本)0819424846

It is the nature of complex systems, composed of many interacting elements, that unanticipated phenomena develop. Computer simulation, in which the elements of a complex system are implemented as interacting software objects (actors), is an effective tool to study collective and emergent phenomena in complex systems. A new cognitive architecture is described for constructing simulation actors that can, like the intelligent elements they represent, adapt to unanticipated conditions. This cognitive architecture generates trial behaviors, estimates their fitness using an internal representation of the system, and has an internal apparatus for evolving a population of trial behaviors to changing environmental conditions. A specific simulation actor is developed to evaluate surveillance radar images of moving vehicles on battlefields. The vehicle cluster location, characterization and discrimination processes currently performed by intelligent human operators were implemented into a parameterized formation recognition process by using a newly developed family of 2D cluster filters. The mechanics of these cluster filters are described. Preliminary results are presented in which this GSM actor demonstrates the ability not only to recognize military formations under prescribed conditions, but to adapt its behavior to unanticipated conditions that develop in the complex simulated battlefield system.

关键词： Global system for mobile communications Complex systems Filtering (signal processing) Gaussian filters Computer simulations Computer architecture Visibility Radar detection and tracking algorithms Sensors

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FREQUENCY-DOMAIN TEXTURE FEATURES FOR CLASSIFYING SAR IMAGES 3

FREQUENCY-DOMAIN TEXTURE FEATURES FOR CLASSIFYING SAR IMAGES

引用

1993 ANNUAL INTERNATIONAL CONF ON AUTOMATIC OBJECT RECOGNITION

作者： EHRHARD, DG EASTON, RL SCHOTT, JR COMEAU, MJ Rochester Institute of Technology (United States)

A method for segmenting synthetic-aperture radar (SAR) images has been developed which operates primarily in the frequency domain. Though based on a similar technique developed by Stromberg, this method has some compu... 详细信息

ISBN: (纸本)0819411965

关键词： Bandpass filters Image segmentation Fourier transforms Synthetic aperture radar Image filtering Object recognition detection and tracking algorithms Spatial light modulators Image processing algorithms and systems Optical filters

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AUTOMATIC TARGET detection IN INFRARED SEQUENCES THROUGH SEMANTIC LABELING

AUTOMATIC TARGET DETECTION IN INFRARED SEQUENCES THROUGH SEM...

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CONF ON APPLICATIONS OF DIGITAL IMAGE PROCESSING 13

作者： LAVAGETTO, F Univ. di Genova (Italy)

ISBN: (纸本)0819404101

An innovative algorithm is presented for the automatic detection of spot targets in infrared terrain image sequences. The algorithm is designed to successfully perform target detection also in presence of deceitful hot background structures such as rocks and sand representing the hottest regions of the scene. The original contribution is represented by the thermal model adopted for the infrared scene and which drives the intraframe processing by iteratively applying three processing steps: i) thresholding ii) clustering iii) semantic labeling. The aim of the intraframe segmentation module is first to detect well contrasted targets and then verify the presence of less contrasted ones on the hypothesis that they all belong to the same formation. At each iteration within the intraframe analysis the thermal threshold is lowered and the hot part of the scene is processed to look for the presence of targets. By theans of different clustering procedures the hot part of the scene is partitioned into a set of connected objects each characterized by a feature vector consisting of area peak thermal value and centroid coordinates. The objects which correspond to the target model are marked as potential targets. If they have been already detected during the previous iterations without sensible changes in the descriptive parameters they are labeled as " confirmed" targets. If on the contrary the area has significantly increased they are labeled as " expanded" targets. If a

关键词： Target detection Image segmentation Image processing detection and tracking algorithms Infrared radiation Digital image processing Image processing algorithms and systems Target recognition Infrared detectors Infrared imaging

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Profiles for evaluation - the usage of audio WET

Profiles for evaluation - the usage of audio WET

引用

Conference on Security, Steganography and Watermarking of Multimedia Contents VIII

作者： Lang, A Dittmann, J Univ Magdeburg Working Grp Adv Multimedia & Secur D-39106 Magdeburg Germany

ISBN: (纸本)0819461121

The evaluation of digital watermarks is an active and important research area. From the variety there are different types of attacks like geometric attacks, lossy compression, security or protocol attacks [1, 2] available to evaluate the robustness of digital watermarks. Furthermore, different attack strategies like single attacks or profile attacks are known to improve the evaluation process [3]. If for example, the robustness of a water-marking algorithm is evaluated, then the signal of the audio content and the embedded watermark is modified with the goal to remove or weaken the watermark information. In this paper, the focus is set on audio signals. We introduce the evaluation process of an existing benchmark service, the Audio Watermark Evaluation Testbed (Audio WET) [4] by evaluating five different audio watermarking algorithms, which work in time, frequency and wavelet domain. Therefore, we introduce basic, extended and application profiles which improve the evaluation of watermarking algorithms to provide comparability. Whereas the basic profiles measure single properties on a watermarking algorithm, the extended and application profiles reflect real world application scenarios. Furthermore a test scenario and test environment for the evaluation of five audio watermarking algorithms by using basic profiles is described and discussed. The test results of the first evaluation by using basic profiles are introduced and a comparison of the evaluated watermarking algorithms using different parameter sets for embedding function is provided.

关键词： Digital watermarking Signal processing Transparency Wavelets Image compression Algorithm development Signal detection detection and tracking algorithms Information security Time metrology

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Target isolation for SAR images

Target isolation for SAR images

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Conference on algorithms for Synthetic Aperture Radar Imagery VIII

作者： Xu, R Kwan, C Haynes, L Intelligent Automat Inc Rockville MD 20855 USA

ISBN: (纸本)0819440779

Synthetic Aperture Radar (SAR) images are very useful for target recognition as they can avoid some of the shortcomings of optical cameras and infrared imagers. However, due to noise and clutter in the environment, the targets are hard to locate without preprocessing and target isolation algorithms. Here we propose an algorithm for enhancing target recognition. The algorithm consists of two steps. First, median filtering is performed to eliminate some speckles. Although median filter is simple, its performance is comparable to a method in the literature. Second, a method known as Sliding Quadrant developed by Intelligent Automation, Inc. (IAI) is used to locate the potential targets in the SAR images. Our method achieves much better target isolation than a well-known method in the literature.

关键词： Synthetic aperture radar Digital filtering Image filtering detection and tracking algorithms Image processing Optical filters Target recognition Imaging systems Infrared cameras Smoothing

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Using genetic algorithms to search for optimal projections

Using genetic algorithms to search for optimal projections

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Conference on Automatic Target Recognition VII

作者： Wallet, BC Marchette, DJ Solka, JL Naval Surface Warfare Ctr. and George Mason Univ. (United States) Naval Surface Warfare Ctr. (United States)

ISBN: (纸本)0819424846

Difficulties in performing density estimation in high dimensional space require dimensionality reduction in many automatic target recognition applications. This paper presents a method using a genetic algorithm to determine projections which are near optimal according to an arbitrary criteria function. An example is presented which optimizes a discriminant criteria in the use of a quadratic classifier to detect regions of interest for locating SCUD missiles in an Unmanned Aerial Vehicle (UAV) imagery.

关键词： Genetic algorithms Distance measurement Unmanned aerial vehicles Image filtering Missiles Statistical analysis Warfare Automatic target recognition detection and tracking algorithms Infrared imaging

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The pointing channel on the basis of array photodetecting device for the mobile laser complex.

The pointing channel on the basis of array photodetecting de...

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18th International Conference on Photoelectronics and Night Vision Devices

作者： Alekseev, Y Muravyov, BP Prikhodyko, VN Suntsov, VV Hisamov, RS FSUE NPO State Inst Appl Opt Kazan Russia

ISBN: (纸本)0819458287

The results of realization of the scientific and technical project on the development of the device of high-precision pointing of laser radiation - the pointing channel - are presented in this report. You can find here the description of the device design, its structural and optical schemes, and operation algorithm. The testing technique of an experimental sample is stated, the testing results are presented.

关键词： Sensors Mirrors Target designation Control systems Spherical lenses detection and tracking algorithms Signal processing Infrared radiation Mobile devices Target detection

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Target detection in hyperspectral imagery using demixed spectral angles

Target detection in hyperspectral imagery using demixed spec...

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Conference on Image and Signal Processing for Remote Sensing IX

作者： Gillis, D Bowles, J USN Res Lab Washington DC 20375 USA

ISBN: (纸本)0819451215

We present a modification to the Spectral Angle Mapper (SAM) to perform mixed pixel target detection in hyperspectral imagery. Our method uses the linear mixing model to define a new set of coordinates using endmember spectra. We show that spectral angles measured in this new coordinate system differ from those measured in full band space, and that there is a natural interpretation of angles involving mixed pixels in these new coordinates. We include experimental evidence that our method outperforms traditional SAM in cases involving both subpixel and shaded target situations.

关键词： Target detection Principal component analysis Hyperspectral imaging detection and tracking algorithms Sensors Hyperspectral target detection Data modeling Image sensors Minerals Spectral resolution

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NETWORK DISTRIBUTION OF HIGHLY SCALABLE VBR VIDEO TRAFFIC

NETWORK DISTRIBUTION OF HIGHLY SCALABLE VBR VIDEO TRAFFIC

引用

Conference on Multimedia Computing and Networking 1995

作者： TAUBMAN, D ZAKHOR, A UNIV CALIF BERKELEY BERKELEYCA 94720

ISBN: (纸本)0819417645

We examine some of the implications of the recent introduction of a class of highly scalable video compression algorithms for network distribution. In particular, we investigate statistical multiplexing of highly scalable VBR traffic in high speed networks, characterized by low channel error rates. The superiority of multiple priority shared queuing policies over the most commonly considered two priority approaches is established through simulation studies. We also propose an optimal Earliest Due Date (EDD) scheduling approach, which has decided advantages over shared queuing, when transmission delay and jitter are to be kept very small. This proposed approach involves dynamic modification of EDD scheduling parameters.

关键词： Distortion Multiplexing Video Video compression Multiplexers Radon Statistical multiplexing Data storage detection and tracking algorithms Roentgenium

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Fast mutual exclusion

Fast mutual exclusion

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16th Conference on Signal and Data Processing of Small Targets

作者： Maskell, S Briers, M Wright, R QinetiQ Ltd Malvern Technol Ctr Malvern Worcs England

ISBN: (纸本)081945351X

A method is presented that circumvents the combinatorial explosion often assumed to exist when summing probabilities of joint association events in a multiple target tracking context. The approach involves no approximations in the summation and while the number of joint events grows exponentially with the number of targets, the computational complexity of the approach is substantially less than exponential. Multiple target tracking algorithms that use this summation include mutual exclusion(11,21) in a particle filtering context and the Joint Probabilistic Data Association Filter,(7) a Kalman Filter based algorithm. The perceived computational expense associated with this combinatorial explosion has meant that such algorithms have been restricted to applications involving only a handful of targets. The approach presented here makes it possible to use such algorithms with a large number of targets.

关键词： detection and tracking algorithms Filtering (signal processing) Electronic filtering Particle filters Particles

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