检索结果-内蒙古大学图书馆

conference on sensor fusion - architectures, algorithms, and applications iii

作者： Peli, T Young, M Knox, R Ellis, K Bennett, F Atlantic Aerosp Elect Corp Waltham MA 02154 USA

ISBN: (纸本)0819431931

This paper describes two practical fusion techniques (hybrid fusion and cued fusion) for automatic target cueing that combine features derived from each sensor data at the object-level. In the hybrid fusion method each of the input sensor data is prescreened (i.e. Automatic Target Cueing (ATC) is performed) before the fusion stage. The cued fusion method assumes that one of the sensors is designated as a primary sensor, and thus ATC is only applied to its input data. If one of the sensors exhibits a higher Pd and/or a lower false alarm rate, it can be selected as the primary sensor, However, if the ground coverage can be segmented to regions in which one of the sensors is known to exhibit better performance, then the cued fusion can be applied locally/adaptively by switching the choice of a primary sensor. Otherwise, the cued fusion is applied both ways (each sensor as primary) and the outputs of each cued mode are combined. Both fusion approaches use a back-end discrimination stage that is applied to a combined feature vector to reduce false alarms. The two fusion processes were applied to spectral and radar sensor data and were shown to provide substantial False alarm reduction. The approaches are easily extendable to more than two sensors.

关键词： sensors Image fusion Data fusion Synthetic aperture radar Target detection Feature extraction sensor fusion Image processing Infrared sensors Target recognition

来源：评论

学校读者我要写书评

暂无评论

Partially decentralized architecture for fusing active (radar) and passive (infrared) measurement data

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 196-208页

作者： van Huyssteen, David Farooq, Mohamad Ottawa Canada

A decentralized technique in which kinematic information from a radar and infrared imager are fused has been developed. To validate its effectiveness, the technique has been compared to a sequentially based Kalman filter via Monte Carlo simulation. The comparison showed that the decentralized technique is a potentially viable alternative.

关键词： sensor data fusion

来源：评论

学校读者我要写书评

暂无评论

sensor management in an ASW data fusion system

Sensor management in an ASW data fusion system

引用

conference on sensor fusion - architectures, algorithms, and applications iii

作者： Penny, DE Def Evaluat & Res Agcy Malvern WR14 3PS Worcs England

ISBN: (纸本)0819431931

The Multi-sensor fusion Management (MSFM) algorithm positions multiple, detection-only, passive sensors in a two-dimensional plane to optimise the fused probability of detection using a simple decision fusion method, previously the MSFM algorithm was evaluated on two synthetic problem domains comprising of both static and moving targets(1). In the original formulation the probability distribution of the target location was modelled using a non-parametric approach. The logarithm of the fused detection probability was used as a criterion function for the optimisation of the sensor positions. This optimisation used a straightforward gradient ascent approach, which occasionally found local optima. Following the placement optimisation the sensors were deployed and the individual sensor detections combined using a logical OR fusion rule. The target location distribution could then be updated using the method of sampling, importance re-sampling (SIR). In the current work the algorithm is extended to admit a richer variety of behaviour. More realistic sensor characteristic models are used which include detection-plus-bearing sensors and false alarm probabilities commensurate with actual sonar sensor systems. In this paper the performance of the updated MSFM algorithm is illustrated on a realistic anti-submarine warfare (ASW) application(2) in which the placement of the sensors is carried out incrementally, allowing for the optimisation of both the location and the number of sensors to be deployed.

关键词： sensor fusion resource allocation anti-submarine warfare (ASW)

来源：评论

学校读者我要写书评

暂无评论

sensor fusion cognition using belief filtering for tracking and identification

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 250-259页

作者： Blasch, Erik Hong, Lang AFRL/SNAT WPAFB United States

Humans exhibit remarkable abilities to estimate, filter, predict, and fuse information in target tracking tasks. To improve track quality, we extend previous tracking approaches by investigating human cognitive-level fusion for constraining the set of plausible targets where the number of targets is not known a priori. The target track algorithm predicts a belief in the position and pose for a set of targets and an automatic target recognition algorithm uses the pose estimate to calculate an accumulated target-belief classification confidence measure. The human integrates the target track information and classification confidence measures to determine the number and identification of targets. This paper implements the cognitive belief filtering approach for sensor fusion and resolves target identity through a set-theory approach by determining a plausible set of targets being tracked.

关键词： sensor data fusion

来源：评论

学校读者我要写书评

暂无评论

PCA and wavelet transform for fusing panchromatic and multi-spectral images

PCA and wavelet transform for fusing panchromatic and multi-...

引用

conference on sensor fusion - architectures, algorithms, and applications iii

作者： Li, J Zhou, YQ Li, DR Wuhan Tech Univ Surveying & Mapping LIESMARS Wuhan 430070 Peoples R China

ISBN: (纸本)0819431931

Facing the increasing availability of remote sensing imagery, the compression of information and the combining of multi-spectral and multi-sensor image data are becoming of greater importance. This paper presents a new image fusion scheme based on PCA and multi-resolution analysis of wavelet theory for fusing high-resolution panchromatic and multi-spectral images. It is done in two ways: a). By replacing some wavelet coefficients of k-principal components by the corresponding coefficients of the high-resolution panchromatic image;b). By adding the wavelet coefficients of the high-resolution panchromatic image directly to k-principal components. The proposal approach is used to fuse the SPOT panchromatic and Landsat (TM) multi-spectral images. Experimental results demonstrate that the proposal approach can not only preserve all the spectral characteristics of the multi-spectral images, but can also improve their definition and spatial quality. Compared with the PCA fusion method, the proposal scheme is much better and possesses more capable of adaptability.

关键词： PCA the wavelet planes image merging substitution fusion additive fusion

来源：评论

学校读者我要写书评

暂无评论

Multitarget tracking algorithm performance evaluation

Multitarget tracking algorithm performance evaluation

引用

conference on sensor fusion - architectures, algorithms, and applications iii

作者： Zheng, H Farooq, M Main, R Royal Mil Coll Canada Dept Elect & Comp Engn Kingston ON K7K 5L0 Canada

ISBN: (纸本)0819431931

This paper discusses some problems in evaluating the performance of multi-target tracking (MTT) systems. various performance measures for the MTT systems are first described. These include: correlation statistics;track purity;track maintenance statistics;and kinematic statistics. Examples of single measures of performance are also given. The issues involved in the analytical prediction of performance are briefly discussed. Detailed descriptions of the computer simulation evaluation for the MTT systems include: test scenario selection, sensor modeling, data collection and the analysis of results. Two performance evaluation methods, namely: a two step method and a track classification approach are explored in this paper. The performance evaluation techniques are being Incorporated in a MTT test bed developed in the Department of Electrical and Computer Engineering at the Royal Military College of Canada, Kingston, Ontario, Canada.

关键词： multi-sensor multi-target tracking performance evaluation techniques

来源：评论

学校读者我要写书评

暂无评论

Convex optimization approach to the fusion of identity information

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 389-397页

作者： Li, Lingjie Luo, Zhi-Quan Wong, K.Max Bosse, Eloi McMaster Univ Hamilton Canada

We consider the problem of identify fusion for a multi-sensor target tracking system whereby sensors generate reports on the target identities. Since the sensor reports are typically fuzzy, 'incomplete' and inconsistent, the fusion of such sensor reports becomes a major challenge. In this paper, we introduce a new identify fusion approach based on the minimization of inconsistencies between the sensor reports by using a convex Quadratic Programming (QP) and linear programming (LP) formulation. In contrast to the Dempster-Shafer's evidential reasoning approach which suffers from exponentially growing complexity, our approach is highly efficient (polynomial time solvable). Moreover, our approach is capable of fusing 'Ratio type' sensor reports, thus it is more general than the evidential reasoning theory. When the sensor reports are consistent, the solution generated by the new fusion method can be shown to converge to the true probability distribution. Simulation work shows that our method generates reasonable fusion results, and when only 'Subset type' sensor reports are present, it produces fusion results similar to that obtained via the evidential reasoning theory.

关键词： sensor data fusion

来源：评论

学校读者我要写书评

暂无评论

Feature level sensor fusion

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 332-338页

作者： Peli, Tamar Young, Mon Knox, Robert Ellis, Ken Bennett, Fredrick Atlantic Aerospace Electronics Corp Waltham United States

This paper describes two practical fusion techniques (hybrid fusion and cued fusion) for automatic target cueing that combine features derived from each sensor data at the object-level. In the hybrid fusion method each of the input sensor data is prescreened (i.e. Automatic Target Cueing (ATC) is performed) before the fusion stage. The cued fusion method assumes that one of the sensors is designated as a primary sensor, and thus ATC is only applied to its input data. If one of the sensors exhibits a higher Pd and/or a lower false alarm rate, it can be selected as the primary sensor. However, if the ground coverage can be segmented to regions in which one of the sensors is known to exhibit better performance, then the cued fusion can be applied locally/adaptively by switching the choice of a primary sensor. Otherwise, the cued fusion is applied both ways (each sensor as primary) and the outputs of each cued mode are combined. Both fusion approaches use a back-end discrimination stage that is applied to a combined feature vector to reduce false alarms. The two fusion processes were applied to spectral and radar sensor data and were shown to provide substantial false alarm reduction. The approaches are easily extendable to more than two sensors.

关键词： sensor data fusion

来源：评论

学校读者我要写书评

暂无评论

Adaptive data fusion using the expected output membership function

Adaptive data fusion using the expected output membership fu...

引用

conference on sensor fusion - architectures, algorithms, and applications iii

作者： Choi, JB Dickerson, JA Iowa State Univ Dept Elect & Comp Engn Ames IA 50011 USA

ISBN: (纸本)0819431931

Fuzzy set methods can improve the fusion of uncertain sensor data. The expected output membership function (EOMF) method uses the fuzzified inputs and possible fuzzy outputs to estimate the fused output. The most likely fuzzy output comes from fusability measures which are calculated using the degrees of the intersections of the possible fuzzy outputs with the fuzzified inputs. The support lengths of the fuzzified inputs can be set proportional to the sensor variance in the fixed case. However, individual measurements can deviate widely from the true value even in accurate sensors. The support length of input sets can be varied by estimating the variation of the input. This adaptation helps deal with occasional bad or noisy measurements. The variation is defined as the absolute change rate of the input with respect to previous output estimates. The EOMF can also be too wide or too narrow compared to the fuzzified inputs. Adaptive methods can help select the size of the EOMF. An example from the control of automated vehicles shows the effectiveness of the adaptive EOMF method, compared to the fixed EOMF method and the weighted average method. The EOMF method shows robustness to outlying measurements when the average fusion operator is used.

关键词： data fusion fuzzy sets fuzzy systems neuro-fuzzy control

来源：评论

学校读者我要写书评

暂无评论

Development of emergent processing loops as a system of systems concept

引用

Proceedings of SPIE - The International Society for Optical Engineering 1999年 3719卷 186-195页

作者： Gainey, James Blasch, Erik US Air Force Research Lab Wright-Patterson AFB United States

A System for Systems (SoS) design is introduced for improving the overall performance, capabilities, operational robustness, and user confidence in Identification (ID) systems. The physio-associative temporal sensor integration algorithm (PATSIA) is used. The SoS architecture proposes dynamic sensor and knowledge-source integration by implementing multiple Emergent Processing Loops (EPL) for Predicting, feature Extracting, Matching, and Searching both static and dynamic databases. These objectives are demonstrated by modeling similar processes from the eyes, ears, and somatosensory channels, through the thalamus, and to cortices as appropriate while using the hippocampus for short-term memory search and storage as necessary.

关键词： sensor data fusion

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：