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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31-40 订阅

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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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Application of the JDL Data fusion Process Model for Cyber Security

Application of the JDL Data Fusion Process Model for Cyber S...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2010

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

ISBN: (纸本)9780819481740

A number of cyber security technologies have proposed the use of data fusion to enhance the defensive capabilities of the network and aid in the development of situational awareness for the security analyst. While there have been advances in fusion technologies and the application of fusion in intrusion detection systems (IDSs), in particular, additional progress can be made by gaining a better understanding of a variety of data fusion processes and applying them to the cyber security application domain. This research explores the underlying processes identified in the Joint Directors of Laboratories (JDL) data fusion process model and further describes them in a cyber security context.

关键词： Cyber Security Network Security Data fusion JDL Data fusion Process Model Situational Awareness

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A performance metric for belief fusion techniques

A performance metric for belief fusion techniques

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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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Cognitive engineering in algorithm development for multisensor data fusion in military applications

Cognitive engineering in algorithm development for multisens...

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Conference on multisensor, multisource information fusion

作者： Kight, AC Narayanan, S Wright State Univ Dept Biomed Ind & Human Factors Engn Dayton OH 45435 USA

ISBN: (纸本)0819453579

In battlefield situations, human operators are bombarded with substantial amounts of information and expected to make near-instantaneous decisions. The large amounts of information, coupled with short decision times and the need to reduce the potential of making incorrect decisions, create the possibility for information overload. This problem is especially prominent in military applications involving imagery from multiple sensors. Computer-based algorithms for fusing pertinent sets of imagery have proven somewhat useful for alleviating this problem. However, little research has been done on designing multisensor data fusion systems using principles of cognitive engineering, which involves the consideration of human cognition during the design process. The design of a sensor fusion system using principles from cognitive engineering would create a more natural relationship between human and machine, and would thus be extremely effective in reducing operator error in military situations. This paper explores the need for integrating human reasoning and cognition in algorithm development for multisensor fusion applications.

关键词： Algorithm development Data fusion Defense technologies Cognition Image fusion Error analysis Image sensors Sensor fusion Sensors

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information fusion across expert groups with dependent and independent components

Information fusion across expert groups with dependent and i...

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

作者： Vergara, Victor M. Xia, Shan Caudell, Thomas P. Center for High Performance Computing Center University of New Mexico Albuquerque NM 87131 United States

ISBN: (纸本)9780819476111

Predicting a single agency's effectiveness to reduce the consequences of a malicious event is a complex problem. It is even more complex to predict the overall effectiveness of a group of agencies considering the possible interdependency of their portfolio of actions. However, this is an essential task in disaster management arena. This work proposes a method to fuse individual effectiveness provided by subject matter experts, considering the dependency among agencies, to predict the holistic effectiveness. It can be applied to agency groups that are dependent, partially dependent, or completely independent. Simulation results illustrate the method. © 2009 SPIE.

关键词： information fusion

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Data fusion in road traffic engineering: An overview

Data fusion in road traffic engineering: An overview

引用

Conference on multisensor, multisource information fusion

作者： El Faouzi, NE ENTPE INRETS Transport & Traff Engn Lab F-69675 Bron France

ISBN: (纸本)0819453579

The objective of this paper is to present an analysis of recent applications of data fusion (DF) in road traffic engineering. First, we report the most significant applications of data fusion techniques in road traffic engineering area: traffic monitoring, signal control, Automatic Incident Detection, traffic forecasting, Intelligent Transportation Systems..., as well as the extent and direction of DF interest it the field. Second, a classification including applications, fusion goals and mathematical tools is proposed.

关键词： traffic engineering data fusion ITS theory of evidence Lalman filtering estimation 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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STAC: A Comprehensive Sensor fusion Model for Scene Characterization

STAC: A Comprehensive Sensor Fusion Model for Scene Characte...

引用

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

作者： Kira, Zsolt Wagner, Alan R. Kennedy, Chris Zutty, Jason Tuell, Grady Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)9781628416145

We are interested in data fusion strategies for Intelligence, Surveillance, and Reconnaissance (ISR) missions. Advances in theory, algorithms, and computational power have made it possible to extract rich semantic information from a wide variety of sensors, but these advances have raised new challenges in fusing the data. For example, in developing fusion algorithms for moving target identification (MTI) applications, what is the best way to combine image data having different temporal frequencies, and how should we introduce contextual information acquired from monitoring cell phones or from human intelligence? In addressing these questions we have found that existing data fusion models do not readily facilitate comparison of fusion algorithms performing such complex information extraction, so we developed a new model that does. Here, we present the Spatial, Temporal, Algorithm, and Cognition (STAC) model. STAC allows for describing the progression of multi-sensor raw data through increasing levels of abstraction, and provides a way to easily compare fusion strategies. It provides for unambiguous description of how multi-sensor data are combined, the computational algorithms being used, and how scene understanding is ultimately achieved. In this paper, we describe and illustrate the STAC model, and compare it to other existing models.

关键词： multisensor fusion data fusion scene characterization scene understanding

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Improved image segmentation using an inference fusion architecture

Improved image segmentation using an inference fusion archit...

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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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Classification of terrain using multi-resolution satellite/aerial imagery and LiDAR data

Classification of terrain using multi-resolution satellite/a...

引用

Conference on multisensor, multisource information fusion - architectures, algorithms and applications 2010

作者： Kocher, Brian R. Thomas, Alan M. Georgia Inst Technol Georgia Tech Res Inst Atlanta GA 30332 USA

ISBN: (纸本)9780819481740

High resolution LiDAR data is used to augment spectral data to improve resolution/accuracy. Digital elevation information, texture information, and spectral data are all combined into a single dataset and different clustering algorithms are used on the raster information and compared with clusters of spectral data alone. Long term goals of the work are to find efficient and effective methods of combining different data sets of varying resolution from different sources into a single dataset for analysis to improve data and classification resolution and accuracy.

关键词： image fusion image processing texture multispectral imagery lidar data material classification

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