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检索条件"任意字段=Multisensor. Multisource Information Fusion: Architectures, Algorithms, and Applications 2003"

共 284 条记录，以下是41-50 订阅

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Level 0-2 fusion model for ATR using fuzzy logic

<i>Level 0</i>-<i>2</i> fusion model for ATR using fuzzy log...

引用

Conference on multisensor. multisource information fusion - architectures, algorithms and applications 2010

作者： Hester, Charles F. Dobson, Kelly K. U.S. Army Aviation and Missile Research Development and Engineering Ctr. United States

ISBN: (纸本)9780819481740

The JDL model for fusion provides a structure for fusion of multispectral data at all levels. Fused data provides improved performance in Automatic Target Recognition (ATR). Critical to the overall fusion performance, however, is the low level(0-2) fusion of sensory and context information. Loss of information must be avoided at this level, but complexity must be reduced. A model is presented that uses fuzzy sets to form entities and capture the information needed for target recognition. Examples using multi-spectral imagery will be presented.

关键词： fuzzy logic ATR level 0-2 fusion JDL model

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Uncertainty Characterization Using Copulas for Classification

Uncertainty Characterization Using Copulas for Classificatio...

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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Ozdemir, Onur Choi, Sora Allen, Thomas G. Varshney, Pramod K. Boston Fus Corp Burlington MA 01824 USA Syracuse Univ Dept EECS Syracuse NY USA

ISBN: (纸本)9781628416145

We address the problem of characterizing uncertainty for multisensor.data fusion in a classification problem. To achieve this goal, we model the joint density of given multivariate data using copula functions while allowing the ability to incorporate any desired marginal distributions, i.e., any desired modalities. The proposed model is data driven in that the corresponding copula functions and their parameters are learned from the data. Our results show that the proposed framework can capture the uncertainties more accurately than current state of the practice, and lead to robust and improved classification performance compared to traditional classifiers.

关键词： multisource data fusion copula theory classification

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multisource taxonomy-based classification using the transferable belief model

Multisource taxonomy-based classification using the transfer...

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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Farrell, William J., III Knapp, Andrew M. Lakota Tech Solut Inc Laurel MD USA

ISBN: (纸本)9780819490858

This paper addresses the problem of multi-source object classification in a context where objects of interest are part of a known taxonomy and the classification sources report at varying levels of specificity. This problem must consider several technical challenges: a) support fusion of heterogeneous classification inputs, b) provide a computationally scalable approach that accommodates taxonomy's with thousands of leaf nodes, and c) provide outputs that support tactical decision aides and are suitable inputs for subsequent fusion processes. This paper presents an approach that employs the Transferable Belief Model, Pignistic Transforms, and Bayesian fusion to address these challenges.

关键词： Evidence Theory Transferable Belief Model Pignistic Transform Bayesian fusion information Theory Classification Data Association

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GStreamer as a framework for image processing applications in image fusion

GStreamer as a framework for image processing applications i...

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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Burks, Stephen D. Doe, Joshua M. USA RDECOM CERDEC Night Vision & Elect Sensors Directorate Ft Belvoir VA 22060 USA

ISBN: (纸本)9780819486387

Multiple source band image fusion can sometimes be a multi-step process that consists of several intermediate image processing steps. Typically, each of these steps is required to be in a particular arrangement in order to produce a unique output image. GStreamer is an open source, cross platform multimedia framework, and using this framework, engineers at NVESD have produced a software package that allows for real time manipulation of processing steps for rapid prototyping in image fusion.

关键词： Image fusion Image processing Video MATLAB Video processing Sensors Frame grabbers Cameras Rapid manufacturing Superposition

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Adaptive multimodal biometric fusion algorithm using particle swarm

Adaptive multimodal biometric fusion algorithm using particl...

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Conference on multisensor. multisource information fusion - architectures, algorithms and applications 2003

作者： Veeramachaneni, K Osadciw, LA Varshney, PK Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

ISBN: (纸本)0819449598

This paper introduces a new algorithm called Adaptive Multimodal Biometric fusion Algorithm" (AMEBF), which is a combination of Bayesian decision fusion and particle swarm optimization. A Bayesian framework is implemented to fuse decisions received from multiple biometric sensors. The system's accuracy improves for a subset of decision fusion rules. The optimal rule is-a function of the error cost and a priori probability of an intruder This Bayesian framework formalizes the design of a system that can adoptively increase or reduce the security level. Particle swarm optimization searches the decision and sensor operating points (i.e. thresholds) space to achieve the desired security level: The optimization function aims to minimize the cost in a Bayesian decision fusion. The particle swarm optimization algorithm results in the fusion rule and the operating points of sensors at which the system can work This algorithm is important to systems designed with varying security needs and user access requirements. The adaptive algorithm is found to achieve desired security level and switch between different rules and sensor operating points for varying needs.

关键词： Bayesian decision fusion particle swarm optimization multimodal biometrics

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Reliable sources and uncertain decisions in multisensor.systems

Reliable sources and uncertain decisions in multisensor syst...

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Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Minor, Christian Johnson, Kevin Nova Res Inc Alexandria VA 22308 USA Naval Res Lab Washington DC 20375 USA

ISBN: (纸本)9781628416145

Conflict among information sources is a feature of fused multisource and multisensor.systems. Accordingly, the subject of conflict resolution has a long history in the literature of data fusion algorithms such as that of Dempster-Shafer theory (DS). Most conflict resolution strategies focus on distributing the conflict among the elements of the frame of discernment (the set of hypotheses that describe the possible decisions for which evidence is obtained) through rescaling of the evidence. These "closed-world" strategies imply that conflict is due to the uncertainty in evidence sources stemming from their reliability. An alternative approach is the "open-world" hypothesis, which allows for the presence of "unknown" elements not included in the original frame of discernment. Here, conflict must be considered as a result of uncertainty in the frame of the discernment, rather than solely the province of evidence sources. Uncertainty in the operating environment of a fused system is likely to appear as an open-world scenario. Understanding the origin of conflict (source versus frame of discernment uncertainty) is a challenging area for research in fused systems. Determining the ratio of these uncertainties provides useful insights into the operation of fused systems and confidence in their decisions for a variety of operating environments. Results and discussion for the computation of these uncertainties are presented for several combination rules with simulated data sets.

关键词： multisensor.systems data fusion sensor reliability interferants open-world sensing Dempster-Shafer theory combination rules

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Computationally efficient Bayesian tracking

Computationally efficient Bayesian tracking

引用

Conference on multisensor. multisource information fusion - architectures, algorithms, and applications

作者： Aughenbaugh, Jason La Cour, Brian Univ Texas Austin Appl Res Labs Austin TX 78712 USA

ISBN: (纸本)9780819490858

In this paper, we describe the progress we have achieved in developing a computationally efficient, grid-based Bayesian fusion tracking system. In our approach, the probability surface is represented by a collection of multidimensional polynomials, each computed adaptively on a grid of cells representing state space. Time evolution is performed using a hybrid particle/grid approach and knowledge of the grid structure, while sensor updates use a measurement-based sampling method with a Delaunay triangulation. We present an application of this system to the problem of tracking a submarine target using a field of active and passive sonar buoys.

关键词： Heterogeneous sensor fusion target tracking Bayesian fusion

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Derivation of ontological relations using formal methods in a situation awareness scenario

Derivation of ontological relations using formal methods in ...

引用

Conference on multisensor. multisource information fusion - architectures, algorithms and applications 2003

作者： Matheus, CJ Baclawski, KP Kokar, MM Versatile Informat Syst Inc Framingham MA 01701 USA

ISBN: (纸本)0819449598

This paper describes a case study of relation derivation within the context of situation awareness. First we present a scenario in which inputs are supplied by a simulated Level 1 system. The inputs are events annotated with terms from an ontology for situation awareness. This ontology contains concepts used to represent and reason about situations. The ontology and the annotations of events are represented in DAML and Rule-NIL and then systematically translated to a formal method language called MetaSlang. Having all information expressed in a formal method language allows us to use a theorem prover, SNARK, to prove that a given relationship among the Level 1 objects holds (or that it does not hold). The paper shows a proof of concept that relation derivation in situation awareness can be done within a formal framework. It also identifies bottlenecks associated with this approach, such as the issue of the large number of potential relations that may have to be considered by the theorem prover. The paper discusses ways of resolving this as well as other problems identified in this study.

关键词： situation awareness ontology formal method information fusion relation derivation events

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Application of the JDL Data fusion Process Model for Cyber Security

Application of the JDL Data Fusion Process Model for Cyber S...

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Conference on multisensor. multisource information fusion - architectures, algorithms and applications 2010

作者： Giacobe, Nicklaus A. Penn State Univ Coll Informat Sci & Technol University Pk PA 16802 USA

ISBN: (纸本)9780819481740

A number of cyber security technologies have proposed the use of data fusion to enhance the defensive capabilities of the network and aid in the development of situational awareness for the security analyst. While there have been advances in fusion technologies and the application of fusion in intrusion detection systems (IDSs), in particular, additional progress can be made by gaining a better understanding of a variety of data fusion processes and applying them to the cyber security application domain. This research explores the underlying processes identified in the Joint Directors of Laboratories (JDL) data fusion process model and further describes them in a cyber security context.

关键词： Cyber Security Network Security Data fusion JDL Data fusion Process Model Situational Awareness

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A performance metric for belief fusion techniques

A performance metric for belief fusion techniques

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Conference on multisensor. multisource information fusion

作者： Friesel, MA Lockheed Martin Maritime Syst & Sensors Command & Control Syst Engn Moorestown NJ 08057 USA

ISBN: (纸本)0819457981

In this paper it is illustrated how Bayes equations and frequency data may use as a measure of performance for belief fusion algorithms. A review of Bayes equations for single and multiple sources is provided. A simple performance measure is then calculated and applied to some belief fusion examples from the literature. Their performance measures are qualitatively similar, but the quantitative differences among these techniques appear to be arbitrary.

关键词： belief theory datafusion performance characterization Bayes Dempster-Shafer combat identification

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