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检索条件"任意字段=Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2009"

共 283 条记录，以下是41-50 订阅

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Fusing multiple images with evidential reasoning

Fusing multiple images with evidential reasoning

引用

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

作者： Yuan, XH Jian, Z Buckles, BP Tulane Univ Dept Elect Engn & Comp Sci New Orleans LA 70001 USA

ISBN: (纸本)0819449598

An approach to fuse multiple images based on Dempster-Shafer evidential reasoning is proposed in this, article. Dempster-Shafer theory provides a complete framework for combining weak evidences from multiple sources. Such situations typically arise in the image fusion problems, where a 'real scene' image has to be estimated from incomplete and unreliable observations. By converting images from their spatial domain into the evidential representations, decisions are made to aggregate evidences such that a fused image is generated. The proposed fusion approach is evaluated on a broad set of images and promising results are given.

关键词： image fusion evidential reasoning multiscale decomposition

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Learned fusion Operators Based on Matrix Completion

Learned Fusion Operators Based on Matrix Completion

引用

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

作者： Risko, Kelly K. D. Hester, Charles F. US Army Res Dev & Engn Command Weap Dev & Integrat Directorate Aviat & Missile Res Dev & Engn Ctr Redstone Arsenal AL 35898 USA

ISBN: (纸本)9780819486387

The efficient and timely management of imagery captured in the battlefield requires methods capable of searching the voluminous databases and extracting highly symbolic concepts. When processing images, a semantic and definition gap exists between machine representations and the user's language. Based on matrix completion techniques, we present a fusion operator that fuses imagery and expert knowledge provided by user inputs during post analysis. Specifically, an information matrix is formed from imagery and a class map as labeled by an expert. From this matrix an image operator is derived for the extraction/prediction of information from future imagery. We will present results using this technique on single mode data.

关键词： fusion matrix completion class map

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Design of a performance evaluation methodology for data fusion-based multiple target tracking systems

Design of a performance evaluation methodology for data fusi...

引用

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

作者： Rawat, S Llinas, J Bowman, C SUNY Buffalo Ctr Multisource Informat Fus Buffalo NY 14260 USA

ISBN: (纸本)0819449598

The emphasis of this paper is to design a Performance Evaluation Methodology for Data fusion-based Multiple Target Tracking Systems. Within this methodology the Performance Evaluation process is treated as a whole new fusion process. This has two major advantages - (1) Facilitates reusability of existing models and algorithms, and (2) Using standard frameworks and norms makes it easier for the tracking community to easily adopt it - thus giving this aspect of tracking a highly needed jumpstart. A case study implementation of this design methodology is presented. Three different Track-Truth Association strategies were implemented to study the effect of Track-Truth Association strategies on the performance metrics. The case study results conclusively show that the selection of the Track-Truth Association strategy should be done with reference to the scenario characteristics, the "mission" goals and the performance metrics to be evaluated.

关键词： data fusion target tracking performance evaluation

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Image fusion for remote sensing using fast, large-scale neuroscience models

Image fusion for remote sensing using fast, large-scale neur...

引用

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

作者： Brumby, Steven P. Los Alamos Natl Lab Los Alamos NM 87545 USA

ISBN: (纸本)9780819486387

We present results with large-scale neuroscience-inspired models for feature detection using multi-spectral visible/infrared satellite imagery. We describe a model using an artificial neural network architecture and learning rules to build sparse scene representations over an adaptive dictionary, fusing spectral and spatial textural characteristics of the objects of interest. Our results with fast codes implemented on clusters of graphical processor units (GPUs) suggest that visual cortex models are a promising approach to practical pattern recognition problems in remote sensing, even for datasets using spectral bands not found in natural visual systems.

关键词： Visual cortex sparse coding artificial neural network

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Minimizing both dropped formulas and concepts in knowledge fusion

Minimizing both dropped formulas and concepts in knowledge f...

引用

Conference on multisensor, multisource information fusion

作者： Gregoire, Eric Univ Artois CRIL CNRS F-62307 Lens France

ISBN: (纸本)0819462985

In this paper, a new family of approaches to fuse inconsistent knowledge sources is introduced in a standard logical setting. They combine two preference criteria to arbitrate between conflicting information: the minimization of falsified formulas and the minimization of the number of the different atoms that are involved in those formulas. Although these criteria exhibit a syntactical flavor, the approaches are semantically-defined.

关键词： logic-based fusion knowledge fusion syntactical fusion operators

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Generalized information fusion and Visualization Using Spatial Voting and Data Modeling

Generalized Information Fusion and Visualization Using Spati...

引用

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

作者： Jaenisch, Holger M. Handley, James W. SPIE Bellingham WA 98227 USA Licht Strahl Engn INC Toney AL 35773 USA Johns Hopkins Univ Baltimore MD 21218 USA

ISBN: (纸本)9780819495471

We present a novel and innovative information fusion and visualization framework for multi-source intelligence (multiINT) data using Spatial Voting (SV) and Data Modeling. We describe how different sources of information can be converted into numerical form for further processing downstream, followed by a short description of how this information can be fused using the SV grid. As an illustrative example, we show the modeling of cyberspace as cyber layers for the purpose of tracking cyber personas. Finally we describe a path ahead for creating interactive agile networks through defender customized Cyber-cubes for network configuration and attack visualization.

关键词： Spatial Voting Data Modeling information fusion Agile networks Cyber defense Cyber Persona Tracking

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Context based gait recognition

Context based gait recognition

引用

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

作者： Bazazian, Shermin Gavrilova, Marina Univ Calgary Dept Comp Sci Calgary AB T2N 1N4 Canada

ISBN: (纸本)9780819490858

Gait recognition has recently become a popular topic in the field of biometrics. However, the main hurdle is the insufficient recognition rate in the presence of low quality samples. The main focus of this paper is to investigate how the performance of a gait recognition system can be improved using additional information about behavioral patterns of users and the context in which samples have been taken. The obtained results show combining the context information with biometric data improves the performance of the system at a very low cost. The amount of improvement depends on the distinctiveness of the behavioral patterns and the quality of the gait samples. Using the appropriate distinctive behavioral models it is possible to achieve a 100% recognition rate.

关键词： Biometrics gait recognition information fusion context-based model behavioral patterns

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A simple test-bed for real-time sensor-to-shooter applications of decentralised data fusion

A simple test-bed for real-time sensor-to-shooter applicatio...

引用

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

作者： Binns, L Cooke, A Fryers, S Greenway, P Mullin, D Nicholson, D Valachis, D BAE Syst Adv Technol Ctr Bristol BS34 7QW Avon England

ISBN: (纸本)0819449598

In this paper we describe a simple physical test-bed, developed to allow practical experimentation in the use of Decentralised Data fusion (DDF) in sensor-to-shooter applications. Running DDF over an ad hoc network of distributed sensors produces target location information. This is used to guide a Leica laser-tracker system to designate currently tracked targets. We outline how the system is robust to network and/or node failure. Moreover, we discuss the system properties that lead to it being completely "plug-and-play", as, like the distributed sensor nodes, the "shooter" does not require knowledge of the overall network topology and can connect at any point.

关键词： data fusion network centric warfare ad-hoc networks sensor-to-shooter

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Integrated Multi-sensor fusion for Mapping and Localization in Outdoor Environments for Mobile Robots

Integrated Multi-sensor Fusion for Mapping and Localization ...

引用

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

作者： Emter, Thomas Petereit, Janko Fraunhofer Inst Optron Syst Technol & Image Explo Karlsruhe Germany

ISBN: (纸本)9781628410587

An integrated multi-sensor fusion framework for localization and mapping for autonomous navigation in unstructured outdoor environments based on extended Kalman filters (EKF) is presented. The sensors for localization include an inertial measurement unit, a GPS, a fiber optic gyroscope, and wheel odometry. Additionally a 3D LIDAR is used for simultaneous localization and mapping (SLAM). A 3D map is built while concurrently a localization in a so far established 2D map is estimated with the current scan of the LIDAR. Despite of longer run-time of the SLAM algorithm compared to the EKF update, a high update rate is still guaranteed by sophisticatedly joining and synchronizing two parallel localization estimators.

关键词： multi-sensor fusion extended Kalman filter particle filter SLAM autonomous mobile robot asynchronous fusion 3D LIDAR mapping

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Discrimination of Chemical/Biological versus high explosive artillery rounds using acoustic and seismic data fusion

Discrimination of Chemical/Biological versus high explosive ...

引用

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

作者： Reiff, C Fargues, M Gonski, D US Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)0819449598

The threat of chemical and biological weapons is a serious problem and the ability to determine. if an incoming artillery round contains high explosives or a chemical/biological agent is valuable information to anyone on the battlefield. Early detection of a chemical or biological agent provides the soldier with more time to respond to the threat. information about the round type and location can be obtained from acoustic and seismic sensors and fused with information from radars, infrared and video cameras, and meteorological sensors to identify the round type quickly after detonation. This paper will describe the work with ground based acoustic and seismic sensors to discriminate between round types in a program sponsored-by the Soldier Biological and Chemical Command.

关键词： chemical biological artillery discrimination data fusion acoustic seismic

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