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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81-90 订阅

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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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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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Mask Pyramid Methodology for Enhanced Localization in Image fusion and Enhancement

Mask Pyramid Methodology for Enhanced Localization in Image ...

引用

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

作者： Zhang, David C. Chai, Sek van der Wal, Gooitzen Berends, David Sufi, Azhar Buchanan, Greg Piacentino, Michael Burt, Peter J. SRI Int Sarnoff Princeton NJ 08540 USA

ISBN: (纸本)9780819486387

Image fusion is a process that combines regions of images from different sources into a single fused image based on a salience selection rule for each region. In this paper, we proposed an algorithmic approach using a mask pyramid to better localize the selection process. A mask pyramid operates in different scales of the image to improve the fused image quality beyond a global selection rule. The proposed approach offers a generic methodology for applications in image enhancement, high dynamic range compression, depth of field extension, and image blending. The mask pyramid can also be encoded for intelligent analysis of source imagery. Several examples of this mask pyramid method are provided to demonstrate its performance in a variety of applications. A new embedded system architecture that builds upon the Acadia (R) II Vision Processor is proposed.

关键词： image fusion exposure fusion high dynamic range imaging focus fusion image blending noise reduction image enhancement

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Songs of cyberspace: an update on sonifications of network traffic to support situational awareness

Songs of cyberspace: an update on sonifications of network t...

引用

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

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

ISBN: (纸本)9780819486387

Building on our previous work, we extend sonification techniques to common network security data. In this current work, we examine packet flow and the creation of socket connections between a requestor's IP address and port number with the server's IP address and port number. Our goals for the aural rendering are twofold: to make certain conditions immediately apparent to untrained listeners, and to create a sound model capable of enough nuance that there is the possibility of unexpected patterns becoming apparent to a seasoned listener. This system could be used to potentially provide better cognitive refinement capabilities for data fusion systems, especially when multiple sources of data at various levels of refinement are presented to the human analyst.

关键词： Sonification auditory display SuperCollider network security data fusion JDL process model

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fusion of Disparate Spectra for Chemical Identification

Fusion of Disparate Spectra for Chemical Identification

引用

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

作者： Minor, Christian P. Brooke, Heather Johnson, Kevin J. Nova Res Inc Alexandria VA 22308 USA US Navy Res Lab Chem Div Washington DC 20375 USA

ISBN: (纸本)9780819486387

Currently there is no systematic framework for characterizing fused, multisensor. systems, and therefore the comparison of multiple independent systems is difficult without extensive field-testing. Development of a framework would allow for theoretical comparisons and enable more rapid prototyping of fused sensor systems, guidance for design from existing sensor components, and more effective engineering of new sensors optimized for use in fused sensor systems. Recent research at NRL has focused on characterizing Fourier transform infrared spectroscopy (FTIR) and mass spectrometry data for fused, multisensor.applications to enhance chemical detection and discrimination in the presence of complex interfering backgrounds. An information theoretic approach has been used to elucidate the information content available from spectral data, quantify the ability of these sensing techniques to distinguish chemicals, and determine their susceptibility to noise and resolution limitations. The approach has also been applied to feature extraction and data fusion techniques on these data. Results characterizing the effectiveness of a fused multisensor.system combining FTIR and mass spectrometry are presented.

关键词： multimodal sensing data fusion mass spectrometry infrared spectroscopy

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Multi-sensor remote sensing information fusion for urban area classification and change detection

Multi-sensor remote sensing information fusion for urban are...

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

作者： Palubinskas, Gintautas Makarau, Aliaksei Reinartz, Peter German Aerosp Ctr DLR Remote Sensing Technol Inst Oberpfaffenhofen Germany

ISBN: (纸本)9780819486387

information extraction from multi-sensor remote sensing imagery is an important and challenging task for many applications such as urban area mapping and change detection. A special acquisition (orthogonal) geometry is of great importance for optical and radar data fusion. This acquisition geometry allows to minimize displacement effects due inaccuracy of Digital Elevation Model (DEM) used for data ortho-rectification and existence of unknown 3D structures in a scene. Final data spatial alignment is performed by recently proposed co-registration method based on a Mutual information measure. For a combination of features originating from different sources, which are quite often non-commensurable, we propose an information fusion framework called INFOFUSE consisting of three main processing steps: feature fission (feature extraction aiming at complete description of a scene), unsupervised clustering (complexity reduction and feature representation in a common dictionary) and supervised classification realized by Bayesian or Neural networks. An example of urban area classification is presented for the orthogonal acquisition of space borne very high resolution WorldView-2 and TerraSAR-X Spotlight imagery over Munich city, South Germany. Experimental results confirm our approach and show a great potential also for other applications such as change detection.

关键词： multi-sensor remote sensing optical image SAR information fusion classification change detection

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INFORM Lab: a testbed for high-level information fusion and resource management

INFORM Lab: a testbed for high-level information fusion and ...

引用

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

作者： Valin, Pierre Guitouni, Adel Bosse, Eloi Wehn, Hans Happe, Jens Def R&D Canada Valcartier Decis Support Syst Sect C2 2459 Blvd Pie 11 Nord Quebec City PQ G3J 1X5 Canada MacDonald Dettwiler & Associates Ltd Richmond BC V6V 2J3 Canada

ISBN: (纸本)9780819486387

DRDC Valcartier and MDA have created an advanced simulation testbed for the purpose of evaluating the effectiveness of Network Enabled Operations in a Coastal Wide Area Surveillance situation, with algorithms provided by several universities. This INFORM Lab testbed allows experimenting with high-level distributed information fusion, dynamic resource management and configuration management, given multiple constraints on the resources and their communications networks. This paper describes the architecture of INFORM Lab, the essential concepts of goals and situation evidence, a selected set of algorithms for distributed information fusion and dynamic resource management, as well as auto-configurable information fusion architectures. The testbed provides general services which include a multilayer plug-and-play architecture, and a general multi-agent framework based on John Boyd's OODA loop. The testbed's performance is demonstrated on 2 types of scenarios/vignettes for 1) cooperative search-and-rescue efforts, and 2) a noncooperative smuggling scenario involving many target ships and various methods of deceit. For each mission, an appropriate subset of Canadian airborne and naval platforms are dispatched to collect situation evidence, which is fused, and then used to modify the platform trajectories for the most efficient collection of further situation evidence. These platforms are fusion nodes which obey a Command and Control node hierarchy.

关键词： surveillance information fusion distributed fusion software agents simulation testbed

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A classification-based image fusion scheme using wavelet transform

A classification-based image fusion scheme using wavelet tra...

引用

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

作者： Luo, X. Y. Zhang, J. Dai, Q. H. Beihang Univ Sch Elect & Informat Engn Natl Key Lab CNS ATM Beijing 100191 Peoples R China Tsinghua Univ Dept Automat Tsinghua Natl Lab Informat Sci & Technol TNList Beijing 100084 Peoples R China

ISBN: (纸本)9780819486387

Image fusion is used to combine multiple images of the same scene into a comprehensive representation. However, an image fusion method does not suit all fusion requirements in practice. In this paper, we introduce an image fusion framework based on wavelet transform, which is designed to satisfy the fusion applications as much as possible. The input images are firstly decomposed into wavelet domain. While analyzing the different frequency coefficients, the principles of fusion are discussed and adaptively assigned according to the properties of subimages. Finally, the fused image can be reconstructed via wavelet inverse transform. The experimental results show that our framework can preserve most features of original images, and the algorithm has some resistance to noise.

关键词： Image fusion wavelet transform

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A relaxed fusion of information from real and synthetic images to predict complex behavior

A relaxed fusion of information from real and synthetic imag...

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

作者： Lyons, Damian M. Benjamin, D. Paul Fordham Univ Robot & Comp Vis Lab Bronx NY 10458 USA Pace Univ Dept Comp Sci New York NY 10023 USA

ISBN: (纸本)9780819486387

An important component of cognitive robotics is the ability to mentally simulate physical processes and to compare the expected results with the information reported by a robot's sensors. In previous work, we have proposed an approach that integrates a 3D game-engine simulation into the robot control architecture. A key part of that architecture is the Match-Mediated Difference (MMD) operation, an approach to fusing sensory data and synthetic predictions at the image level. The MMD operation insists that simulated and predicted scenes are similar in terms of the appearance of the objects in the scene. This is an overly restrictive constraint on the simulation since parts of the predicted scene may not have been previously viewed by the robot. In this paper we propose an extended MMD operation that relaxes the constraint and allows the real and synthetic scenes to differ in some features but not in (selected) other features. Image difference operations that allow a real image and synthetic image generated from an arbitrarily colored graphical model of a scene to be compared. Scenes with the same content show a zero difference. Scenes with varying foreground objects can be controlled to compare the color, size and shape of the foreground.

关键词： cognitive robotics problem-solving simulation computer vision sensory fusion

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multisource information fusion for Logistics

Multisource Information Fusion for Logistics

引用

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

作者： Woodley, Robert Petrov, Plamen Noll, Warren 21st Century Syst Inc Omaha NE 68106 USA

ISBN: (纸本)9780819486387

Current Army logistical systems and databases contain massive amounts of data that need an effective method to extract actionable information. The databases do not contain root cause and case-based analysis needed to diagnose or predict breakdowns. A system is needed to find data from as many sources as possible, process it in an integrated fashion, and disseminate information products on the readiness of the fleet vehicles. 21st Century Systems, Inc. introduces the Agent-Enabled Logistics Enterprise Intelligence System (AELEIS) tool, designed to assist logistics analysts with assessing the availability and prognostics of assets in the logistics pipeline. AELEIS extracts data from multiple, heterogeneous data sets. This data is then aggregated and mined for data trends. Finally, data reasoning tools and prognostics tools evaluate the data for relevance and potential issues. Multiple types of data mining tools may be employed to extract the data and an information reasoning capability determines what tools are needed to apply them to extract information. This can be visualized as a push-pull system where data trends fire a reasoning engine to search for corroborating evidence and then integrate the data into actionable information. The architecture decides on what reasoning engine to use (i.e., it may start with a rule-based method, but, if needed, go to condition based reasoning, and even a model-based reasoning engine for certain types of equipment). Initial results show that AELEIS is able to indicate to the user of potential fault conditions and root-cause information mined from a database.

关键词： Expert systems information fusion Knowledge based systems Vehicle health monitoring Data reasoning Intelligent agent software Data mining and clustering

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