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检索条件"任意字段=Signal and Data Processing of Small Targets 1995 Conference"

共 783 条记录，以下是31-40 订阅

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Target detection by distributed sensors: distributed sensor concept-DISCO for small target detection

Target detection by distributed sensors: distributed sensor ...

引用

20th conference on signal and data processing of small targets

作者： Rafailov, Michael K. QinetiQ NA Reston VA 20191 USA

ISBN: (纸本)9780819471604

Distributed Sensor Concept - DISCO was proposed [I] for multiplication of individual sensor capabilities through non-coherent cooperative target engagement. The signal processing technique for DISCO is Recursive Adaptive Frame Integration of Limited data - RAFIL technique [2] that was initially proposed as a way to improve the SNR [3], reduce data rate [4] and mitigate FPA noise for IR sensors [5]. In DISCO, the RAFIL technique is used in a segmented way, when constituencies of the technique are spatially and temporally separated between individual sensors. Each sensor provides to and receives data from other sensors in the network. In this paper efficiency of DISCO is discussed for acquisition, accurate handover and track correlation of small targets.

关键词： multiple sensor system distributed sensors distributed apertures accurate target detection frame integration data rate recursive processing double threshold

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Model-based estimation of small target parameters

Model-based estimation of small target parameters

引用

conference on signal and data processing of small targets

作者： Eitner, PG Lockheed Martin Management & Data Syst Philadelphia PA 19101 USA

ISBN: (纸本)0819428221

Resolution limitations have a significant impact on accuracy of small target parameters estimated from imagery. This paper describes a model-based method for small target parameter estimation. The method requires an a priori model of the target, and under many conditions will provide better results than deconvolution relying on pixel data alone. A description of the algorithm will be given, along with examples illustrating performance in a variety of situations, including a demonstration of the ability to handle some degree of saturation in the imaging process.

关键词： parameter estimation image restoration small targets model-based method

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Radar detection of multiple moving targets in clutter using time-frequency-radon transform

Radar detection of multiple moving targets in clutter using ...

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14th conference on signal and data processing of small targets

作者： Chen, VC USN Res Lab Div Radar Washington DC 20375 USA

ISBN: (纸本)0819444782

In this paper, we analyze features of radar returns from moving targets, introduce the basic concept of time-frequency-Radon transforms, describe the Radon transform for line feature detection, discuss their applications to detection of multiple moving targets in clutter, and demonstrate two examples of moving target detection using simulated radar data.

关键词： time-frequency transform Radon transform moving targets multiple targets

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TOWARD THE INTEGRATION OF TRACKING AND signal-processing FOR PHASED-ARRAY RADAR

TOWARD THE INTEGRATION OF TRACKING AND SIGNAL-PROCESSING FOR...

引用

conference on signal and data processing of small targets 1994

作者： BLAIR, WD USN CTR SURFACE WARFAREDAHLGREN DIVDEPT RES & TECHNOLDAHLGRENVA 22448

ISBN: (纸本)0819415391

Classically, sensor signal processing and data processing (i.e., tracking) have been performed separately with very little interaction between the two functions. Furthermore, the signal processing and tracking algorithms are often designed separately. This paper discusses some concepts for integrating the signal processing and tracking functions for a phase array radar. Since phased array radars provide a rapid beam steering capability, proper control of the radar beam has the potential for significantly improving the tracking of multiple maneuvering targets. However, when the signal processing is accomplished separately from the tracking, optimizing the detection thresholds for targets with fluctuating radar cross sections, resolving multiple targets, and reducing the errors due to multipath and glint must be accomplished over a single radar dwell period. Integrating the signal processing with the tracking will allow many of these issues to be addressed over multiple radar dwells. The issues associated with integrating the signal processing and tracking functions are discussed with respect to tracking and data association, revisit time and waveform energy calculations, and waveform selection. The waveform selection is discussed relative to four specific examples that include a fluctuating radar cross section from an extended target, two closely spaced targets, a splitting target, and a target in the presence of radar multipath.

关键词： Radar signal processing Target detection Detection and tracking algorithms Filtering (signal processing) signal to noise ratio Phased arrays Radar signal processing Electronic filtering signal detection

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DETECTION, PARAMETRIC IMAGING AND CLASSIFICATION OF VERY small MARINE targets EMERGED IN HEAVY SEA CLUTTER UTILIZING GPS-BASED FORWARD SCATTERING RADAR

DETECTION, PARAMETRIC IMAGING AND CLASSIFICATION OF VERY SMA...

引用

IEEE International conference on Acoustics, Speech and signal processing (ICASSP)

作者： Kabakchiev, C. Behar, V. Garvanov, I. Kabakchieva, D. Rohling, H. SU Sofia Bulgaria IICT BAS Sofia Bulgaria ULSIT Sofia Bulgaria UWNE Sofia Bulgaria TU HH Hamburg Germany

ISBN: (纸本)9781479928934

In this paper, we address a technique and related algorithms for precise detection, parametric imaging and classification of small marine targets in a harsh sensing environment attributed for heavy sea clutter via noncooperative processing of the GPS-based Forward Scatter Radar (FSR) data. In contrary to GPS L5 detection approach, the proposed technique utilizes civil GPS L1 signal formats in FSR exploiting GPS as a non-cooperative transmitter. In our previous studies it is shown that the use of the new power GPS signal L5, and the Forward Scattering effect providing a high SNR, at the detector input allows reliably to detect small air targets in conditions of the intense interference. In this paper we propose another approach, to enhance SNR, at the input of the detector in Forward Scattering Radar (FSR). The use of the effective filter (Local Variance Filter) for suppression of intensive sea clutter allows FSR reliably to detect small marine targets emerged in harsh sea clutter, but with GPS L1 signal, whose SNR is very small. At the classification level, the data mining approach is adopted, in which the target feature parameters are extracted from the preliminary filtered signals by utilizing the modified structure of a processor for target detection and parameter estimation in the time domain. Both, the decision tree-based and the neural network classifiers are featured and adapted for real-time implementation. The efficiency of the proposed technique is verified via analytical performance evaluations and experimental demonstrations.

关键词： FSR GPS detection classification harsh sensing environment

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An image segmentation approach for improving target detection in a 3-D signal processor

An image segmentation approach for improving target detectio...

引用

conference on signal and data processing of small targets

作者： Chan, CL Attili, JB Melendez, KA PAR Govt Syst Corp La Jolla CA 92037 USA

ISBN: (纸本)0819428221

The detection of small, weak targets collected from electro-optical radiation is a challenging problem, particularly in the presence of nonstationary backgrounds. In this paper, we propose a theoretical justification for the loss in performance of slowly moving targets in regions of benign clutter. In particular, a K-means segmentation technique is developed using a fixed number of classes and a variety of local scene features. This class map is used by a 3-D matched filter to estimate a covariance matrix for each region. The filter would then whiten each region using the appropriate class map. The algorithm is applied in this paper to actual sensor data which contains heterogeneous scenes taken from the Airborne Infrared Measurement Systems (AIRMS) sensor. Performance is assessed through the measure of SNRs and receiver operating characteristic (ROC) curves based on a suite of injected targets.

关键词： image segmentation weak target detection 3-D signal processing

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Detection of small target in IR image sequences using VSLMS

Detection of small target in IR image sequences using VSLMS

引用

16th conference on signal and data processing of small targets

作者： Ng, LN Ronda, V Lim, ET Nanyang Technol Univ Sch Elect & Elect Singapore Singapore

ISBN: (纸本)081945351X

A Vertical-Strip Least Mean Squared (VSLMS) algorithm is proposed to enhance the detection of small moving targets in IR image sequences. This algorithm is an improvement over the Two-Dimensional LMS (TDLMS), which is designed to detect small targets within highly correlated background of static images. This paper focuses on processing IR image sequences with different background features with layers of sky, sea and land clutter. The VSLMS uses multiple LMS modules and a different scanning method to process individual lines in the IR image sequences. Simulation results show successful enhancement of very small targets in an IR mage sequence.

关键词： VSLMS IR image sequences TDLMS

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MULTIRESOLUTIONAL TARGET TRACKING

MULTIRESOLUTIONAL TARGET TRACKING

引用

conference on signal and data processing of small targets 1994

作者： HONG, L WRIGHT STATE UNIV DEPT ELECT ENGNDAYTONOH 45435

ISBN: (纸本)0819415391

A framework of multiresolutional target tracking is established in this paper. The wavelet transform is employed in constructing multiresolutional data and model structures. Multiresolutional tracking is performed over the multiresolutional data and model structures in a top-down fashion. The main advantages of multiresolutional target tracking include: computational efficiency, performance robustness and algorithm flexibility.

关键词： Detection and tracking algorithms data modeling Wavelet transforms data processing Optical filters data acquisition Distance measurement Electronic filtering Discrete wavelet transforms signal processing

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Tracking of two closely spaced objects using monopulse measurements

Tracking of two closely spaced objects using monopulse measu...

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17th conference on signal and data processing of small targets

作者： Isaac, A Zhang, X Willett, P Bar-Shalom, Y Univ Connecticut Dept Elect & Comp Engn Storrs CT 06269 USA

ISBN: (纸本)0819459186

The ultimate goal of this paper is to track two closely spaced and unresolved targets using monopulse radar measurements, the quality of such tracking being a determinant of successful detection of target spawn. It explores statistical estimation techniques based on the maximum likelihood criterion and Gibbs sampling, and addresses concerns about the accuracy of the measurements delivered thereby. In particular, the Gibbs approach can deliver joint measurements (and the associated covariances) from both targets, and it is therefore natural to consider a joint filter. The ideas are compared, and amongst the various strategies discussed, a particle filter that operates directly on the monopulse measurements is especially promising.

关键词： Radar Filtering (signal processing) Detection and tracking algorithms Particle filters Target detection Particles signal processing Monte Carlo methods signal to noise ratio Statistical analysis

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Temporal Characterization of small Arms Muzzle Flash in the Broadband Visible

Temporal Characterization of Small Arms Muzzle Flash in the ...

引用

conference on signal and data processing of small targets 2010

作者： Burke, Tom Bratlie, Duane Northrop Grumman Corp 2910 W Almondbury Dr Pasadena MD 21122 USA Northrop Grumman Corp Laurel MD 20707 USA

The authors have developed a simple system for characterizing the muzzle flash duration of common military small-arms ammunition as a feeder for system design configurations. This paper is a synopsis of the efforts an... 详细信息

ISBN: (纸本)9780819481627

关键词： small Arm Muzzle Flash Broadband Visible Characterization

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