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检索条件"任意字段=Multisensor, Multisource Information Fusion: Architecture, Algorithms, and Applications 2005"

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Proceedings of SPIE: multisensor, multisource information fusion: architectures, algorithms, and applications 2005

Proceedings of SPIE: Multisensor, Multisource Information Fu...

引用

multisensor, multisource information fusion: architecture, algorithms, and applications 2005

The proceedings contain 35 papers from the conference on multisensor, multisource information fusion: architectures, algorithms, and applications 2005. Topics discussed include: reduced data projection slice image fusion using principal component analysis;real-time implementation of image alignment and fusion;image fusion with the hybrid evolutionary algorithm and response analysis;a perceptual quality metric for image fusion based on regional information;multispectral sensor fusion using the projection-slice theorem;a situation awareness model applied to multiple domains;hybrid framework for fusion 2+ in multi-multi air engagement;and product-based multiresolution image fusion.

关键词： Sensor data fusion

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Proceedings of SPIE - multisensor, multisource information fusion: architectures, algorithms, and applications 2007

Proceedings of SPIE - Multisensor, Multisource Information F...

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multisensor, multisource information fusion: architectures, algorithms, and applications 2007

ISBN: (纸本)081946693X

The proceedings contain 27 papers. The topics discussed include: a novel method to evaluate the performance of pan-sharpening algorithms;signal-to-noise ratio for cross-sensor fusion approach;fusion and kernel type selection in adaptive image retrieval;merging infrared and color visible images with a contrast enhanced fusion method;multi-sensor detection and fusion technique;novel classification fusion techniques for military target classification;a full-scale prototype multisensor system for fire detection and situational awareness;fusion of disparate information sources in a hybrid decision-support architecture;selection of fusion operations using rank-score diversity for robot mapping and localization;maximum likelihood ensemble filter applied to multisensory systems;assessing the value of information in a fuzzy cognitive map;and multisensor fusion of images for target identification.

关键词： information fusion

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multisensor, multisource information fusion: architectures, algorithms, and applications 2009

Multisensor, Multisource Information Fusion: Architectures, ...

引用

multisensor, multisource information fusion: architectures, algorithms, and applications 2009

ISBN: (纸本)9780819476111

The proceedings contain 24 papers. The topics discussed include: evaluation of a color fused dual-band NVG;TRICLOBS portable triband color lowlight observation system;ACT-Vision: active collaborative tracking for multiple PTZ cameras;manned/unmanned common architecture program (MCAP) net centric flight tests;a multi-layer network architecture for dynamic resource configuration and management of multiple mobile resources in maritime surveillance;semantic enrichment of multi-intelligence data within a net-centric environment;an integrated multi-source JDL high-level fusion architecture using recombinant cognition synthesis;data fusion engine (DFE) for the force protection joint experiment (FPJE);explosive detection in the presence of clutter by processing Raman spectra with a kernel adatron;and Energy Logic (EL): a novel fusion engine of multi-modality multi-agent data/information fusion for intelligent surveillance systems.

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information fusion and uncertainty management for biological multisensor systems

Information fusion and uncertainty management for biological...

引用

Conference on multisensor, multisource information fusion

作者： Braun, JJ Glina, Y Stein, DW Skomoroch, PN Fox, EB MIT Lincoln Lab Lexington MA 02420 USA

ISBN: (纸本)0819457981

This paper investigates methods of decision-making from uncertain and disparate data. The need for such methods arises in those sensing application areas in which multiple and diverse sensing modalities are available, but the information provided can be imprecise or only indirectly related to the effects to be discerned. Biological sensing for biodefense is an important instance of such applications. information fusion in that context is the focus of a research program now underway at MIT Lincoln Laboratory. The paper outlines a multi-level, multi-classifier recognition architecture developed within this program, and discusses its components. information source uncertainty is quantified and exploited for improving the quality of data that constitute the input to the classification processes. Several methods of sensor uncertainty exploitation at the feature-level are proposed and their efficacy is investigated. Other aspects of the program are discussed as well. While the primary focus of the paper is on biodefense, the applicability of concepts and techniques presented here extends to other multisensor fusion application domains.

关键词： information fusion multisensor data fusion machine learning biological sensors biodefense

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Impact of expanding the multiplicity of information sources on fusion system architecture and fusion logic options

Impact of expanding the multiplicity of information sources ...

引用

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

作者： Dasarathy, BV

ISBN: (纸本)0819449598

Various fusion system architectures postulated and studied previously for environments with two and three data sources are further explored in this study to bring out the expanding scope for delineating the architecture options for multiple data source environments. A spectrum of single and multi-stage fusion architecture options are defined. The potential for such expansion of choices is illustrated using the scenario with four data sources as an example. Potential problem environments corresponding to this range of two to four data sources are identified. Various fusion logic strategies that can be brought to bear for the analysis of these fusion architecture options, when these fusion architectures are employed for Decisions In - Decision Out (DEI-DEO) fusion, are also discussed.

关键词： sensor fusion decision fusion fusion strategies multi-sensor suites

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architecture of triple sensitive colour digital sensors with the integration of image fusion techniques

Architecture of triple sensitive colour digital sensors with...

引用

Conference on multisensor, multisource information fusion

作者： Zhang, Y Univ New Brunswick Dept Geodesy & Geomat Engn Fredericton NB E3B 5A3 Canada

ISBN: (纸本)0819457981

High resolution and highly sensitive colour digital sensors are desired for many applications, including military and civilian missions. Due to the limitation of spectral bandwidth, the sensitivity of a digital colour sensor is usually three times lower than that of a digital panchromatic sensor with a spectral bandwidth of the entire visible range or a range from visible to near infrared. This paper introduces a conceptual architecture for producing a triple sensitive colour digital frame sensor. Automatic image fusion techniques are involved to integrate colour and panchromatic images to increase the sensitivity of the colour sensor. Available satellite colour and panchromatic images are tested to prove the concept. The test results demonstrate that the introduced architecture is promising for developing real triple sensitive colour digital sensors.

关键词： digital sensor colour high sensitivity high resolution image fusion

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Current research on wavelet-based image fusion algorithms

Current research on wavelet-based image fusion algorithms

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Conference on multisensor, multisource information fusion

作者： Li, HH Guo, L Liu, H Northwestern Polytech Univ Coll Automat Xian 710072 Peoples R China

ISBN: (纸本)0819457981

Wavelet transform is efficiently applied to the area of image fusion because it's properties such as multiresolution analysis, accurate reconstruction and similarity to people's vision understanding. On the basis of reviewing the former research, the fusion results may be better than those with previous common fusion algorithms in many applications. This paper describes the principle and method of wavelet-based image fusion and analyzes it's current research and future trend from the two respects: the modality of wavelet transform and fusion rules.

关键词： wavelet transform image fusion multi-band wavelet wavelet package

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A performance metric for belief fusion techniques

A performance metric for belief fusion techniques

引用

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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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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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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