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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21-30 订阅

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Image fusion techniques for robust inspection of specular surfaces

Image fusion techniques for robust inspection of specular su...

引用

multisensor. multisource information fusion: architectures, algorithms, and applications 2003

作者： León, Fernando Puente Kammel, Sören Lehrstuhl Messsystem- Sensotechnik Technische Universitat Munchen D-80290 München Germany Postfach 6980 D-76128 Karlsruhe Germany

This contribution presents a new fusion strategy to inspect specular surfaces. To cope with illumination problems, several images are recorded with different lighting. Typically, the information of interest is extracted from each image separately and is then combined at a decision level. However, in our approach all images are processed simultaneously by means of a centralized fusion - no matter whether the desired results are images, features or symbols. Since the information fused is closer to the source, a better exploitation of the raw data is achieved. The sensors are virtual in the sense that a single camera is employed to record all images with different illumination patterns. The fusion problem is formulated by means of an energy function. Its minimization yields the desired fusion results, which describe surface defects. The performance of the proposed methodology is illustrated by means of two case studies: the analysis of machined surfaces, and the inspection of painted free-form surfaces. The programmable light sources utilized are a DMD, and an LED based illumination device, respectively. In both cases, the results demonstrate that by generating complementary imaging situations and using fusion techniques, a reliable yet cost-efficient inspection is attained matching the needs of industry.

关键词： Sensor data fusion

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The system parameter fusion principle and its application to fuzzy pattern recognition

The system parameter fusion principle and its application to...

引用

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

作者： Pu, QG Univ Sci & Technol Ctr Comp Suzhou 215011 Jiangsu Peoples R China

ISBN: (纸本)0819449598

Modern technology provides a great amount of information. In computer monitoring systems or computer control systems, especially real-time expert systems, in order to have the situation in hand, we need one or two parameters to express the quality and/or security of the whole system. This paper presents a principle for synthesizing measurements of multiple system parameters into a single parameter and its application to fuzzy pattern recognition.

关键词： sensor fusion fuzzy pattern recognition computer monitoring systems computer control systems realtime expert systems

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Multi-sensor fusion using an adaptive multi-hypothesis tracking algorithm

Multi-sensor fusion using an adaptive multi-hypothesis track...

引用

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

作者： Kester, LJHM TNO Phys & Elect Lab NL-2509 JG The Hague Netherlands

ISBN: (纸本)0819449598

The purpose of a tracking algorithm is to associate data measured by one or more (moving) sensors to moving objects in the environment. The state of these objects that can be estimated with the tracking process depends on the type of data that is provided by these sensors. It is discussed how the tracking algorithm can adapt itself, depending on the provided data, to improve data association. The core of the tracking algorithm,is an extended Kalman filter using multiple hypotheses for contact to track association. Examples of various sensor suites of radars, electro-optic sensors and acoustic sensors are presented.

关键词： sensor fusion tracking data association MHT

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information fusion of large number of sources with support vector machine techniques

Information fusion of large number of sources with support v...

引用

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

作者： Braun, JJ Jeswani, SP MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)0819449598

applications of information fusion include cases that involve a large number of information sources. Methods developed in the context of few information sources may not, and often do not, scale well to cases involving a large number of sources. This paper addresses specifically the problem of information fusion of large number of information sources. Performance of Support Vector Machine (SVM) based approach is investigated in input spaces consisting of thousands of information sources. Microarray pattern recognition, an important bioinformatics task with significant medical diagnostics applications, is considered from the information and sensor data fusion viewpoint, and recognition performance experiments conducted on microarray data are discussed. An approach involving high-dimensional input space partitioning is presented and its efficacy is investigated. The aspects of feature-level and decision-level fusion are discussed as well. The results indicate the feasibility of the SVM based information fusion with large number of information sources.

关键词： information fusion multisensor.data fusion bioinformatics microarrays Support Vector Machine

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Distributed fault-tolerant classification fusion using error correcting codes

Distributed fault-tolerant classification fusion using error...

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

作者： Wang, TY Varshney, PK Han, YS Syracuse Univ Dept Elect Engn & Comp Sci Syracuse NY 13244 USA

ISBN: (纸本)0819449598

In this paper we propose a new approach for distributed multiclass classification using a hierarchical fusion architecture. Binary decisions from local sensors, possibly in the presence of faults, axe fused locally. Locally fused results are forwarded to the global fusion center that determines the final classification result. Classification fusion in our approach is implemented via error correcting codes to incorporate fault-tolerance capability. This new approach not only provides an improved fault-tolerance capability but also reduces bandwidth requirements as well as computation time and memory requirements at the fusion center. Numerical examples axe provided to illustrate the performance of this new approach.

关键词： distributed classification decision fusion multisensor.fusion error correcting codes fault-tolerance

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Sequence images fusion based on wavelet and grey prediction

Sequence images fusion based on wavelet and grey prediction

引用

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

作者： Tao, HJ Xiong, HJ Chen, W Tian, JW Wuhan Univ Technol Wuhan 430074 Peoples R China

ISBN: (纸本)0819449598

We use our proposed discrete multi-resolution wavelet transform and grey system theory prediction to fuse sequence images to generate a high quality image. The fused images are simultaneously obtained via only one wavelet transform and the sequence of images. Several other methods were implemented to compare with the proposed approach. In fusion image, The sequence of images information can supplement each other, so the image fusion not only have abundant information, but also reserve the sequence of images detail. This experiment results also illuminates that image fusion is an important way to improve represent ability of image.

关键词： image fusion sequence image wavelet transform grey system prediction

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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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Improved image segmentation using an inference fusion architecture

Improved image segmentation using an inference fusion archit...

引用

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

作者： Brucks, T Riddle, J Van Maasdam, P Raytheon Missile Syst Tucson AZ 85734 USA

ISBN: (纸本)0819449598

Image segmentation, a key component in many Automatic Target Recognition (ATR) systems, has received considerable attention in the research community in recent years. A variety of segmentation approaches exist, and attempts have been made to combine various approaches in order to find more robust solutions. In this paper, the authors describe an inference fusion architecture for combining individual segmentation concepts which results in improved performance over the individual algorithms. We consider segmentation algorithms with several disparate cost functions as experts with a narrowly defined set of goals. The information obtained from each expert is combined and weighted with available evidence using an agent based inference system, resulting in an adaptive, robust and highly flexible image segmentation. Results obtained by applying this approach will be presented.

关键词： ATR image segmentation inference systems information fusion

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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...

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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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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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