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共 168 条记录，以下是41-50 订阅

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Detection of small objects in multi-layered infrared images

Detection of small objects in multi-layered infrared images

引用

20th conference on signal and data processing of small targets

作者： Wang, Jing Bao, Shangqi Ralph, Jason F. Goulermas, John Y. Univ Liverpool Dept Elect Engn & Elect Liverpool L69 3GJ Merseyside England

ISBN: (纸本)9780819471604

this paper uses super-resolution methods to detect small objects in infrared image sequences from a simulated airborne platform, using image registration techniques for automatic sightline stabilisation. the scene consists of multiple layers, corresponding to a static background scene and layers of cloud cover at varying heights. the motivation is to evaluate the performance of super-resolution methods in the presence of three-dimensional structured infrared clutter.

关键词： object detection super-resolution automatic sightline stabilisation infrared imagery clouds

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A wavelet-based regularization scheme for HRR radar profile enhancement for use in automatic target recognition

A wavelet-based regularization scheme for HRR radar profile ...

引用

16th conference on signal and data processing of small targets

作者： Morris, HC DePass, MM San Jose State Univ Dept Math San Jose CA 95192 USA

ISBN: (纸本)081945351X

Cetin(1-2) has applied non-quadratic optimization methods to produce feature-enhanced high-range resolution (ERR) radar profiles. this work concerned ground-based targets and was carried-out in the temporal domain. In this paper, we propose a wavelet-based-half-quadratic technique(3) for ground-to-air target identification. the method is tested on simulated data generated by standard techniques(4). this analysis shows the ability of the proposed method to recover high-resolution features such as the locations and amplitudes of the dominant scatterers in the HRR profile. this suggests that the technique potentially may help improve the performance of HRR target recognition systems.

关键词： high range-resolution radar wavelets signal reconstruction non-quadratic optimization superresolution

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Tracking ground vehicles on a grid

Tracking ground vehicles on a grid

引用

16th conference on signal and data processing of small targets

作者： Sworder, DD Boyd, JE Univ Calif San Diego Dept Elect & Comp Engn La Jolla CA 92093 USA

ISBN: (纸本)081945351X

Hybrid models have proven useful for tracking targets with multiple motion modes. Most emphasis in the literature has been devoted to aircraft which transition from constant velocity motion to constant (or nearly constant) turns and back. Ground targets motions have received less attention despite similarities with aircraft. this paper presents a study of the ground-tracking problem using the Gaussian wavelet estimator as the basic algorithm. the sensor suite contains a matrix of range-bearing sensors of quality that is strongly range dependent. there also may be an acoustic sensor which provides an auxiliary speed measurement. It is shown that the high degree of partitioning of the kinematic state space provided by the algorithm is useful in this application.

关键词： nonlinear filters target tracking data fusion

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Probabilistic data association filter with binomial distributed false alarms for radar tracking

Probabilistic data association filter with binomial distribu...

引用

13th conference on signal and data processing of small targets

作者： Blair, WD Brown, GC Georgia Inst Technol Georgia Tech Res Inst Sensors & Electromagnet Applicat Lab Air & Missile Def Div Atlanta GA 30332 USA

ISBN: (纸本)0819441872

In this paper, two modifications are made to the derivation of the PDAF: one replaces the Poisson distributed false alarms with a binomial distribution, the other involves the assumed distribution of the angular measurements associated with false alarms. the Binomial distribution better fits the kind of data typically seen in radar because the track gate typically, involves a small number of candidate range cells. the second modification is founded on the assumption that the angle-of-arrival estimates are produced with monopulse techniques. Previous work has modeled the false measurements as being uniformly distributed in the uncertainty volume of the track gate, while a more accurate approach recognizes that the angle components of the false alarms are better modeled as Gaussian perturbations about beam center.

关键词： multitarget tracking data association radar signal processing phased array radar systems

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data association hypothesis evaluation for i.i.d. but non-Poisson multiple target tracking

Data association hypothesis evaluation for i.i.d. but non-Po...

引用

16th conference on signal and data processing of small targets

作者： Mori, S Chong, CY ALPHATECH Inc Mountain View CA 94040 USA

ISBN: (纸本)081945351X

this paper discusses the evaluation of data association hypotheses for a general class of multiple target tracking problems. We assume that the number of targets is unknown, and that given the number of targets, the joint target state distributions form a system of independent, identically distributed (i.i.d.) probability distributions. We are particularly interested in the case where the prior probability distribution of the number of targets is not necessarily Poisson. We will show that the Poisson assumption is not only sufficient but also necessary for the commonly used standard multiplicative hypothesis evaluation formula. Consequently, we claim that the use of the standard multiplicative hypothesis evaluation formula implies, either explicitly or implicitly, the Poisson assumption. We will also examine the Poisson assumption on the number of false alarms in each measurement set.

关键词： multiple target tracking data association hypothesis evaluation IID cluster non-Poisson point process

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Peak inspecting and signal recovery methods based on triple correlation - art. no. 623608

Peak inspecting and signal recovery methods based on triple ...

引用

18th conference on signal and data processing of small targets

作者： Cao Hanqiang Li Xutao Chen Rujun Wei Jiaxin Cao Chao Huazhong Univ Sci & Technol Dept Elec & Info Eng Wuhan 430074 Peoples R China

ISBN: (纸本)0819462926

Weak target inspecting and recovering are very important in IR detecting systems. In this paper, triple correlation peak inspecting techniques(TCPIT) are adopted for the signal processing of IR systems in detecting sub-pixel or point targets. Investigations show that the signal-to-noise ratio (SNR) improvement of approximate 23dB can be obtained with the input peak SNR of 0.84 and the input power SNR of -0.93dB. the triple correlation overlapping sampling technique(TCOST) is advanced for restoring signal waveforms of IR detection systems. Investigations show that signal waveforms can effectively be restored in the low signal-to-noise ratio circumstances using this approach.

关键词： triple correlation weak signal inspecting detection of point target IR detecting system

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Real-world tracking system performance evaluation

Real-world tracking system performance evaluation

引用

14th conference on signal and data processing of small targets

作者： Blackman, SS Dempster, RJ Raytheon Elect Syst El Segundo CA 90245 USA

ISBN: (纸本)0819444782

Preliminary tracking system design and analysis is typically done using simulated data in which the target truth is known and many techniques have been developed for evaluating performance under these conditions. However, there is a notable lack of any consistent approach for evaluating tracker performance for "real" data in which there may be an unknown number of "targets of opportunity" whose trajectories are not known. In addition, the background clutter/false alarm environment may be unknown so that an important analysis task is to determine the most accurate background models. this paper proposes a set of criteria for evaluating the tracks that are formed using "real" data collected in the field in the presence of an unknown number of "targets of opportunity". these criteria include duration, update history, and measures of kinematic and data association consistency. A scoring method is developed and the use of these criteria for system design is discussed.

关键词： multiple target tracking performance evaluation real data

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Fixed-lag sequential Monte Carlo data association

Fixed-lag sequential Monte Carlo data association

引用

18th conference on signal and data processing of small targets

作者： Briers, Mark Doucet, Arnaud Maskell, Simon R. Horridge, Paul R. QinetiQ Ltd. (United Kingdom) Cambridge Univ. (United Kingdom) The Univ. of British Columbia (Canada)

ISBN: (纸本)0819462926

the use of multiple scans of data to improve ones ability to improve target tracking performance is widespread in the tracking literature. In this paper, we introduce a novel application of a recent innovation in the SMC literature that uses multiple scans of data to improve the stochastic approximation (and so the data association ability) of a multiple target Sequential Monte Carlo based tracking system. Such an improvement is achieved by resimulating sampled variates over a fixed-lag time window by artificially extending the space of the target distribution. In doing so, the stochastic approximation is improved and so the data association ambiguity is more readily resolved.

关键词： particle filter Sequential Monte Carlo Multi-target tracking fixed-lag data association out-of-sequence measurements

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Concurrent MAP data association and absolute bias estimation with an arbitrary number of sensors

Concurrent MAP data association and absolute bias estimation...

引用

20th conference on signal and data processing of small targets

作者： Kragel, Bret D. Danford, Scott Poore, Aubrey B. Numerica Corp Loveland CO USA

ISBN: (纸本)9780819471604

Bias estimation using objects with unknown data association requires concurrent estimation of both biases and optimal data association. this report derives maximum a posteriori (MAP) data association likelihood ratios for concurrent bias estimation and data association based on sensor-level track state estimates and their joint error covariance. Our approach is unique for two reasons. First, we include a bias prior that allows estimation of absolute sensor biases, rather than just relative biases. Second, we allow concurrent bias estimation and association for an arbitrary number of sensors. the two-sensor likelihood ratio is derived as a special case of the general M-sensor result.

关键词： multiple target tracking MAP bias estimation data association assignment problems track-to-track association

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the Network Centric Warfare Paradigm: the primacy of estimation, tracking and data fusion algorithms for implementation of this vision

The Network Centric Warfare Paradigm: The primacy of estimat...

引用

14th conference on signal and data processing of small targets

作者： Gray, JE Smith-Carroll, AS McCabe, DH Murray, WJ Alouani, AT USN Ctr Surface Warfare Dahlgren Div Syst Res & Technol Dept Dahlgren VA 22448 USA

ISBN: (纸本)0819444782

What underpins this vision as axiomatic is the mantra "Information is power". Besides the necessary requirement of information exchange networks with sufficient bandwidth and computational power to treat the data being passed around the network;, algorithms are required to make sense of the data. It is estimation algorithms that turn the straw (data) into gold (information). Both proper execution and improvements in estimation algorithms are the enabling technology that facilitates the formation and usage of data across the envisioned warfare networks. We focus on some of the requirements that are driving the formation of these networks from a surface navy perspective in terms of estimation. We also discuss how these requirements focus the design of potentially new algorithms. We also discuss some of the crucial issues that may drive future requirements and algorithms.

关键词： Military operations

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