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检索条件"任意字段=Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2012"

共 282 条记录，以下是241-250 订阅

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Geo-information reality - Mass user oriented modeling of environment

Geo-information reality - Mass user oriented modeling of env...

引用

multisensor, multisource information fusion: architectures, algorithms, and applications 2004

作者： Levin, Eugene Jannson, Tomasz Guienko, Guennadi Jarnovsky, Alexandre Physical Optics Corporation Torrance CA Dept. of Photogrammetry Siberian State Geodetic Academy Russia Dept. of Photogrammetry University of Warmia and Mazury Olsztyn Poland Physical Optics Corp. 20600 Gramercy Pl. Torrance CA 90501

Topographic maps, both paper and computerized, require specific qualifications in the end users - planners, designers, geodesists, etc. These maps offer the user some simplified information about reality, described in accordance with a meaningful set of cartographic conventions. Overlaid with an orthophoto, such cartographic information becomes a photomap, representing the surface in a more realistic way. A non-expert, used to perceiving environmental reality through landscape images taken from the Earth's surface, faces certain difficulties interpreting images collected from an aircraft or satellite. In fact, modern technologies do not provide the mass user with full-value visual information about the real environment. The mass-user is not generally concerned about using maps for measurements, but rather uses them to search for some semantic information. Thus, a new, mass-user-oriented branch of GIS should be based on a new concept -geo-information reality, i.e., mass-user-oriented modeling of the environment. The key to this concept is an object-graphic basis for GIS, bringing to bear modern methods of acquiring, storing, and representing visual and textual information in digital form. This paper presents the proposed concept in detail.

关键词： Geographic information systems

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fusion by weakening

Fusion by weakening

引用

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

作者： Grégoire, E Univ Artois CNRS CRIL F-62307 Lens France

ISBN: (纸本)0819449598

In this paper, a new approach to logic-based knowledge fusion is proposed. It is based on the use of (a form of) semaphores to solve conflicting information. It is shown that a traditional use of semaphores is not relevant in the case of an iterated fusion process. Accordingly, an adequate technique is thus proposed that allows multiple fusion steps to be performed. Technical properties of this new technique are then investigated.

关键词： artificial intelligence knowledge fusion logic-based fusion semaphores weakening

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Fusing multisensor and multisource data with implicit knowledge for monitoring

Fusing multisensor and multisource data with implicit knowle...

引用

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

作者： Ramers, DL Univ N Carolina Sch Engn Charlotte NC 28223 USA

ISBN: (纸本)0819449598

This paper describes a series of experiments in data fusion. of remotely sensed multispectral satellite imagery, in-situ physical measurement data (temperature, pH, salinity), and implicitly encoded knowledge (contained in location and season) to predict values and classified levels of chlorophyll-a using an artificial. neural net (ANN). ANNs inherently fuse data inputs and discover relationships to provide a fused interpretation of the inputs. The experiments investigated the effects of fusing data and knowledge from the three different types of sources: non-contact, physical contact, and implicit. The results indicate that fusing the three source types improved prediction of chlorophyll-a values and classification levels, and that the multisource ANN fusion approach might improve or augment present periodic sample point monitoring methods for chlorophyll-a.

关键词： data fusion neural nets multispectral chlorophyll-a estuary monitoring

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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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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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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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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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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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