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检索条件"任意字段=18th Conference on Signal and Data Processing of Small Targets"

共 390 条记录，以下是131-140 订阅

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Ultrawideband inverse scattering method for resonance region target recognition: Application to small-scale airplane targets with measured data

Ultrawideband inverse scattering method for resonance region...

引用

European conference on Antennas and Propagation, EuCAP

作者： Mustafa Secmen Department of Electrical and Electronics Engineering Yasar University Izmir Turkey

this paper develops an inverse scattering method to determine the characteristics of resonance region targets by using ultrawideband scattering signals. the method mainly uses multiple time-domain signals for each target, and they are processed to give feature vectors in frequency domain. these vectors contain target-specific information related with characteristics (dimensions of substructures, material properties, etc.) of the known targets. the target recognition is employed by using test (unknown) target's scattering signal. this time-domain signal is processed in an inverse way to get a frequency-domain test vector. then, the characteristics of test target are assigned as these of one of the known targets with a basic template-matching approach between test vector and feature vectors of these targets. the method is demonstrated for three realistic small-scale airplane. For an ultrawideband system of 0.7-18 GHz, more than 85 percent accuracy has been obtained even under moderate signal-to-noise (SNR) ratio of about 10 dB.

关键词： Scattering Target recognition Airplanes Accuracy Principal component analysis Inverse problems Time-domain analysis

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Context-based ground target tracking — An integrated approach

Context-based ground target tracking — An integrated approa...

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International conference on Information Fusion

作者： Michael Mertens Martin Ulmke Sensor Data and Information Fusion Fraunhofer FKIE Wachtberg Germany

ISBN: (纸本)9781479974047

the general focus of this paper is the improvement of state-of-the-art Bayesian tracking filters specialized to the domain of ground moving objects to obtain high-quality track information, based on airborne ground moving target indication (GMTI) radar measurements. To counteract the numerous challenges, in particular, imprecise measurements and missed detections, a strong false alarm background, closely-spaced targets, technical and terrain obscuration as well as complex target motion, it is highly advisable to exploit additional context information in a tracking system. three different classes of information are considered and used as extensions of standard tracking algorithms. these are the knowledge on range and Doppler blind zones of the GMTI sensor, road network information and signal strength measurements, where the latter is used to obtain estimates of a target's mean radar cross section (RCS). the performance of differently augmented cardinalized probability hypothesis density (CPHD) filter variants is assessed based on a multi-target simulation scenario.

关键词： Roads Target tracking Radar tracking Doppler effect Junctions Bayes methods Context

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small TARGET OF SEA SURFACE DETECTION ALGORIthM RESEARCH BASED ON FEATURE CLASSIFICATION 12

SMALL TARGET OF SEA SURFACE DETECTION ALGORITHM RESEARCH BAS...

引用

12th IEEE International conference on signal processing (ICSP)

作者： Yu, Lianqing Li, Yun Wang, Ning Jiang, Jin Nanjing Res Inst Elect Technol Nanjing 210039 Jiangsu Peoples R China

ISBN: (纸本)9781479921867

this paper focuses on small target of sea surface detection in sea clutter. Firstly, it analyses the statistic of sea clutter. Secondly, three feature vectors (namely, RAA, RPH and RVE) are extracted, which is utilized to discriminate the sea clutter and targets, and then the time-Doppler curve is used to distinguish the multi-targets in order to finish the small target of sea surface detection. Finally, it analyses the trial data of some radar and shows that this algorithm can effectively distinguish the sea clutter and small target of sea surface. this paper provides a new approach for the ship-borne surveillance radar or marine radar to detect the small target of sea surface and antisubmarine warfare patrol.

关键词： Sea Cluttert Target Detection Feature Detection Feature Classification Time-Doppler Curve

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Investigations into rapid uniaxial compression of polycrystalline targets using femtosecond X-ray diffraction

Investigations into rapid uniaxial compression of polycrysta...

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18th Joint Int Conf of the APS Topical-Grp on Shock Compress of Condensed Matter / 24th Int Conf of the Int-Assoc-for-the-Advancement-of-High-Pressure-Sci-and-Technol

作者： McGonegle, David Higginbotham, Andrew Galtier, Eric McBride, Emma E. McMahon, Malcolm I. Milathianaki, Despina Lee, Hae Ja Nagler, Bob Vinko, Sam M. Wark, Justin S. Univ Oxford Dept Phys Clarendon Lab Parks Rd Oxford OX1 3PU England SLAC Natl Acceletator Lab Linac Coherent Light Source Menlo Pk CA 94025 USA DESY Photon Sci D-22607 Hamburg Germany Univ Edinburgh Dept Phys & Astron Edinburgh EH9 3JZ Midlothian Scotland

Although the pressures achievable in laser experiments continue to increase, the mechanisms underlying how solids deform at high strain rates are still not well understood. In particular, at higher pressures, the assumption that the difference between the longitudinal and transverse strains in a sample remains small becomes increasingly invalid. In recent years, there has been an increasing interest in simulating compression experiments on a granular level. In situ X-ray diffraction, where a target is probed with X-rays while a shock is propagating through it, is an excellent tool to test these simulations. We present data from the first long-pulse laser experiment at the MEC instrument of LCLS, the world's first hard X-ray Free Electron Laser, demonstrating large strain anisotropies. From this we infer shear stresses in polycrystalline copper of up to 1.75 GPa at a shock pressure of 32 GPa.

关键词： X ray diffraction

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Collective matrix factorization of predictors, neighborhood and targets for semi-supervised classification

Collective matrix factorization of predictors, neighborhood ...

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18th Pacific-Asia conference on Advances in Knowledge Discovery and data Mining, PAKDD 2014

作者： Drumond, Lucas Rego Schmidt-thieme, Lars Freudenthaler, Christoph Krohn-Grimberghe, Artus ISMLL - Information Systems and Machine Learning Lab. University of Hildesheim Germany AIS-BI University of Paderborn Germany

ISBN: (纸本)9783319066073

Due to the small size of available labeled data for semi-supervised learning, approaches to this problem make strong assumptions about the data, performing well only when such assumptions hold true. However, a lot of effort may have to be spent in understanding the data so that the most suitable model can be applied. this process can be as critical as gathering labeled data. One way to overcome this hindrance is to control the contribution of different assumptions to the model, rendering it capable of performing reasonably in a wide range of applications. In this paper we propose a collective matrix factorization model that simultaneously decomposes the predictor, neighborhood and target matrices (PNT-CMF) to achieve semi-supervised classification. By controlling how strongly the model relies on different assumptions, PNT-CMF is able to perform well on a wider variety of datasets. Experiments on synthetic and real world datasets show that, while state-of-the-art models (TSVM and LapSVM) excel on datasets that match their characteristics and have a performance drop on the others, our approach outperforms them being consistently competitive in different situations. © 2014 Springer International Publishing.

关键词： Supervised learning

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small target of sea surface detection algorithm research based on feature classification

Small target of sea surface detection algorithm research bas...

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International conference on signal processing Proceedings (ICSP)

作者： Lianqing Yu Yun Li Ning Wang Jin Jiang Nanjing Research Institute of Electronics Technology Nanjing 210039 China

ISBN: (纸本)9781479921898

关键词： Abstracts Doppler effect Logic gates

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Unsupervised Segmentation of Anomalies in Sequential data, Images and Volumetric data Using Multiscale Fourier Phase-Only Analysis

Unsupervised Segmentation of Anomalies in Sequential Data, I...

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18th Scandinavian conference on Image Analysis (SCIA)

作者： Buerger, Fabian Pauli, Josef Univ Duisburg Essen Fac Engn Intelligent Syst Grp Duisburg Germany

ISBN: (纸本)9783642388866;9783642388859

this paper presents an unsupervised method to detect and segment anomalies and novel patterns in sequential data, images and volumetric data. the proposed Multiscale Phase-Only Transformation (MPHOT) addresses the case when no prior knowledge about the data or even its dimensionality is provided. It is based on the fusion of the Phase-Only Transform (PHOT) in scale space using only one adaptive sensitivity parameter. the PHOT uses the Discrete Fourier Transform (DFT) to remove all regularities while it detects small defects and pattern boundaries. the proposed multiscale extension allows the precise segmentation of large anomalies as well. We present experiments on synthetic and measured data in fields of time series analysis, image processing and volumetric data segmentation to show the universality of our approach.

关键词： Unsupervised Anomaly Detection Novelty Detection Texture Segmentation Volumetric Segmentation data Mining

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small object detection via fast discrete Curvelet transform

Small object detection via fast discrete Curvelet transform

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25th SPIE conference on signal and data processing of small targets

作者： Valdez, Hector A. Lu, thomas T. Chao, Tien-Hsin Calif State Univ Long Beach Long Beach CA 90840 USA CALTECH Jet Prop Lab 4800 Oak Grove Dr Pasadena CA 91125 USA

ISBN: (纸本)9780819497079

this paper describes the Fast Discrete Curvelet Transform (FDCT) which is integrated into an automated object detection framework capable of fast image processing for the purpose of tracking multiple objects of interest. the distinguishing difference between FDCT and other transforms is that the Curvelet coefficients have three beneficial parameters, which define scale, orientation, and spatial locations. We utilize these parameters to efficiently detect relatively small objects in a variety of image and video data sets. We have implemented the FDCT in a multi-stage automatic target recognition (ATR) architecture. the results of the current algorithm yield a highly sensitive detection of small targets in noisy backgrounds.

关键词： ATR Curvelet object detection ROI sparse representation targeting

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An Examination of the Application of Space Time Adaptive processing for the Detection of Maritime Surface targets from High Altitude Airborne Platforms

An Examination of the Application of Space Time Adaptive Pro...

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25th SPIE conference on signal and data processing of small targets

作者： McDonald, Michael Cerutti-Maori, Delphine Def R&D Canada 3701 Carling Ave Ottawa ON Canada Fraunhofer FHR D-53343 Wachtberg Germany

ISBN: (纸本)9780819497079

An examination of the application of Space Time Adaptive processing (STAP) techniques to real, multi-channel, medium grazing angle, radar sea clutter data is undertaken and the detection performance is quantified against simulated moving maritime surface targets. the application of sub-optimal STAP approaches to the maritime radar detection problem is shown to be complicated by non-stationarity of sea clutter and rapid variations of the sea clutter spectrum due to transient wave activity. Observed performance gains from maritime STAP are much more limited than those observed for Ground Moving Target Indication (GMTI) due to the inherent spectral width of sea clutter and the slow Doppler velocities of maritime targets. three sub-optimal STAP processing architectures are examined and PRI-Staggered Post-Doppler is shown to provide consistently superior detection performance for the data set in question.

关键词： Maritime surveillance STAP Radar GMTI

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Identification of Human Motion Signature using Airborne Radar data

Identification of Human Motion Signature using Airborne Rada...

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25th SPIE conference on signal and data processing of small targets

作者： McDonald, Michael Damini, Anthony Def R&D Canada Ottawa ON Canada

ISBN: (纸本)9780819497079

data containing the radar signature of amoving person on the ground were collected at ranges of up to 30 km from a moving airborne platform using the DRDC Ottawa X-band Wideband Experimental Airborne Radar (XWEAR). the human target radar echo returns were found to possess a characteristic amplitude modulated (AM) and frequency modulated (FM) signature which could be usefully characterized in terms of conventional AM and FM modulation parameters. Human detection performance after space time adaptive processing is frequently limited by false alarms arising from incomplete cancellation of large radar cross-section discretes during the whitening step. However, the clutter discretes possess different modulation characteristics from the human targets discussed above. the ability of pattern classification techniques to use this parameter measurement space to distinguish between human targets and clutter discretes is explored and preliminary results presented.

关键词： STAP Radar GMTI

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