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检索条件"主题词=Detection and tracking algorithms"

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In-flight refinement of the radiometric, spectral, and spatial calibration of the Atmospheric Infrared Sounder (AIRS)

In-flight refinement of the radiometric, spectral, and spati...

引用

Conference on Earth Observing Systems VIII

作者： Gaiser, SL Aumann, HH Gregorich, DT Hearty, TJ CALTECH Jet Prop Lab Pasadena CA 91109 USA

ISBN: (纸本)0819450243

The current performance of AIRS radiometric, spectral, and spatial calibration algorithms are described. Radiometric accuracy is validated to tenths of a kelvin. Spectral stability is better than 0.5% of the spectral response function FWHM. Geolocation accuracy is accurate to approximately 2 kin at nadir. An algorithm has been implemented to correct for space views contaminated by the moon. Planned algorithm improvements include correcting the 2 km bias in geolocation.

关键词： Calibration Sensors Spectral calibration Infrared radiation detection and tracking algorithms Polarization Space operations Temperature metrology Clouds Weather forecasting

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Using sensor networks and data fusion for early detection of active worms

Using sensor networks and data fusion for early detection of...

引用

Conference on Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Defense and Law Enforcement II

作者： Berk, VH Gray, RS Bakos, G Dartmouth Coll Thayer Sch Engn Inst Secur Technol Studies Hanover NH 03755 USA

ISBN: (纸本)081944930X

Identification of an Internet worm is a manual process where security analysts must observe and analyze unusual activity on multiple firewalls, intrusion-detection systems or hosts. A worm might not be positively identified until it already has spread to most of the Internet, eliminating many defensive options. In this paper, we present an automated system that can identify active worms seconds or minutes after they first begin to spread, a necessary precursor to halting the spread of a worm, rather than simply cleaning up afterward. Our implemented system collects ICMP Unreachable messages from instrumented network routers, identifies those patterns of unreachable messages that indicate malicious scanning activity, and then searches for patterns of scanning activity that indicate a propagating worm. In this paper, we examine the problem of active worms., describe our ICMP-based detection system, and present simulation results that illustrate the speed with which it can detect a worm.

关键词： Internet Sapphire detection and tracking algorithms Data modeling Network security Data analysis Analytical research Sensors Systems modeling Sensor networks

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Simple Image Processing with MMW cameras

Simple Image Processing with MMW cameras

引用

Conference on Passive Millimeter-Wave Imaging Technology VI and Radar Sensor Technology VII

作者： Pergande, A Benson, P Anderson, L Lockheed Martin Missiles & Fire Control Orlando FL 32819 USA

ISBN: (纸本)0819449369

Millimeter wave cameras can have limited pixel count and image uniformity problems. While these may be expected to improve as detector technology advances, presently available simple image processing algorithms can provide significant improvement in users displays and object detection performance. Data collected with the existing NIJ (National Institute of Justice) camera is shown, along with uniformity corrections, and a straightforward Correlation algorithm that provides a tracking dot on a weapon. This provides a threat indication on what might at first appear to be a very marginal image stream. Suggestions for future work are also presented.

关键词： detection and tracking algorithms Cameras Extremely high frequency Weapons Image processing Image quality Image filtering Digital filtering Sensors Video

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Machine vision image analysis capability for image intensifier tubes and systems

Machine vision image analysis capability for image intensifi...

引用

Conference on Low-Light-Level and Real-Time Imaging Systems, Components and Applications

作者： Alsman, D Paul, C Sartor, M USN Ctr Surface Warfare Crane Div Crane IN 47522 USA

ISBN: (纸本)0819445630

The Image Intensifier Tube (IIT) is the most critical component within a night vision device. Acquisition, production, test and evaluation of image intensifier tubes can be greatly enhanced by the application of machine vision technology. The Navy, Air Force and Army have invested over $2,000,000 in the development of a machine vision-based test set known as the Automated Intensifier Measurement System (AIMS). This paper will describe methodologies employed in the AIMS to measure Modulation Transfer Function (MTF), Dark Spots, Bright Spots, Shear Distortion, and Gross Distortion.

关键词： Modulation transfer functions Calibration Image intensifiers Distortion Promethium Machine vision detection and tracking algorithms Image analysis Image processing Photomasks

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Regularization in the synthesis of host-based anomaly detectors

Regularization in the synthesis of host-based anomaly detect...

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Conference on System Diagnosis and Prognosis: Security and Condition Monitoring Issues III

作者： Michael, CC Cigital Labs Sterling VA 20166 USA

ISBN: (纸本)0819449679

The goal of host-based intrusion detection is to detect attacks against a sin-le information system. Many host-based intrusion detector systems - especially those that use anomaly detection - use training data to synthesize detectors automatically, that is, the detectors are classifiers created by machine learning algorithms. Regularization, which often improves the performance of machine learning algorithms, has not previously been applied to intrusion detector synthesis. This paper discusses regularization for machine learning-based intrusion detectors, showing how regularization can be accomplished for such systems and providing the results of an empirical evaluation.

关键词： Sensors detection and tracking algorithms Machine learning Computer intrusion detection Databases Algorithm development Evolutionary algorithms Error analysis Statistical analysis Computing systems

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Independent component analysis (ICA) and Self-Organizing Map (SOM) approach to multi detection system for network intruders.

Independent component analysis (ICA) and Self-Organizing Map...

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Conference on Independent Component Analyses, Wavelets, and Neural Networks

作者： Abdi, AM Harold, S George Washington Univ Dept Elect Engn Washington DC 20052 USA

ISBN: (纸本)0819449628

With the growing rate of interconnection among computer systems, network security is becoming a real challenge. Intrusion detection System (IDS) is designed to protect the availability, confidentiality and integrity of critical network information systems. Today's approach to network intrusion detection involves the use of rule-based expert systems to identify an indication of known attack or anomalies. However, these techniques are less successful in identifying today's attacks. Hackers are perpetually inventing new and previously unanticipated techniques to compromise information infrastructure. This paper proposes a dynamic way of detecting network intruders on time serious data. The proposed approach consists of a two-step process. Firstly, obtaining an efficient multi-user detection method, employing the recently introduced complexity minimization approach as a generalization of a standard ICA. Secondly, we identified unsupervised learning neural network architecture based on Kohonen's Self-Organizing Map for potential functional clustering. These two steps working together adaptively will provide a pseudo-real time novelty detection attribute to supplement the current intrusion detection statistical methodology.

关键词： Computer intrusion detection Independent component analysis Data modeling Telecommunications Computing systems Machine learning Neural networks detection and tracking algorithms Network security Rule based systems

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Viterbi-based data association techniques for target tracking

Viterbi-based data association techniques for target trackin...

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Conference on Signal Processing, Sensor Fusion, and Target Recognition XII

作者： Gad, A Farooq, M Royal Mil Coll Canada Dept Elect & Comp Engn Kingston ON K7K 7B4 Canada

ISBN: (纸本)0819449563

The research in multitarget tracking has mainly focused on the development and implementation of efficient data association algorithms with acceptable performance. The Viterbi Data Association (VDA) algorithm has proven to have low computation cost and hence a good candidate for the extension to multiple target tracking case. In this paper, the VDA is implemented for tracking both the single and multiple maneuvering targets in clutter. The track initiator and the adaptive sliding window techniques are used so that the VDA can maintain a lock on the track. The performance of the algorithm is assessed via Mote-Carlo simulations. The computation complexity analysis reveals that the VDA is computationally more efficient over the known tracking techniques.

关键词： detection and tracking algorithms Error analysis Monte Carlo methods Algorithm development Process modeling Target detection Computer simulations Surveillance Computer engineering Target recognition

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Robust SAR ATR via set-valued classifiers: New results

Robust SAR ATR via set-valued classifiers: New results

引用

Conference on Signal Processing, Sensor Fusion, and Target Recognition XII

作者： Hoffman, J Mahler, R Ravichandran, R Mehra, R Musick, S Lockheed Martin Tact Syst Eagan MN USA

ISBN: (纸本)0819449563

"Robust identification" in SAR ATR refers to the problem of determining target identity despite the confounding effects of "extended operating conditions" (EOCs). EOCs axe statistically uncharacterizable SAR intensity-signature variations caused by mud, dents, turret articulations, etc. This paper describes a robust ATR approach based on the idea of (1) hedging against EOCs by attaching "random error bars" (random intervals) to each value of the image likelihood function;(2) constructing a "generalized likelihood function" from them;and (3) using a set-valued, MLE-like approach to robustly estimate target type. We compare three such classifiers, showing that they outperform conventional approaches under EOC conditions.

关键词： Synthetic aperture radar detection and tracking algorithms Fuzzy logic Automatic target recognition Target recognition Error analysis Statistical analysis Data modeling Statistical modeling Analytical research

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Binary matrices, decomposition and multiply-add architectures

Binary matrices, decomposition and multiply-add architecture...

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Conference on Image Processing - algorithms and Systems II

作者： Sarukhanyan, H Agaian, S Astola, J Egiazarian, K NAS Armenia Inst Informat & Automat Problems Yerevan Armenia

ISBN: (纸本)0819448141

Binary matrices or (+/-1)-matrices have found numerous applications in coding, signal processing, and communications. In this paper, a general and efficient algorithm of decomposition of binary matrices is developed. As a special case, Hadamard matrices are considered. The proposed scheme requires no zero padding of the input data. The problem of the construction of 4n-point Hadamard transform is related to the Hadamard problem: the question of existence of Hadamard matrices. (It is not proved whether for every integer n, there exists an orthogonal 4n x 4n matrix with elements +/-1). The number of real operation in developed algorithms is reduced from O(N-2) to O(Nlog(2)N). Comparisons revealing the efficiency of the proposed algorithms with respect to the known ones are given. In particular, it is demonstrated that, in typical applications, the proposed algorithm is more efficient than the conventional Walsh Hadamard transform. Note that for Hadamard matrices of orders greater than or equal to 96 the general algorithm is more efficient than the classical Walsh-Hadamard transform whose order is a power of two. The algorithm has a simple and symmetric structure. The results of numerical examples are presented.

关键词： Matrices Algorithm development Binary data Ytterbium Signal processing algorithms Radon detection and tracking algorithms Image processing Reconstruction algorithms

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Developing a CFAR filter for detecting point targets using a dynamic programming algorithm

Developing a CFAR filter for detecting point targets using a...

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Conference on Signal and Data Processing of Small Targets

作者： Madar, H Avishai, T Succary, R Rotman, SR Ben Gurion Univ Negev Dept Elect & Comp Engn IL-84105 Beer Sheva Israel

ISBN: (纸本)0819450774

A method to detect and track point targets in infrared imagery is briefly described. The final output of the algorithm is a single image containing scores related to the probability of a target being located at any particular pixel. This image will be analyzed to deterrrtine the presence and location of suspected targets, based on CFAR requirements.

关键词： Target detection detection and tracking algorithms Algorithm development Filtering (signal processing) Image processing Signal to noise ratio Computer programming Image filtering Image analysis Signal processing

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