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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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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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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

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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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Product-based multiresolution image fusion

Product-based multiresolution image fusion

引用

Conference on multisensor, multisource information fusion

作者： Ostrem, T Kozaitis, SP Florida Inst Technol Dept Elect & Comp Engn Melbourne FL 32901 USA

ISBN: (纸本)0819457981

We combined images from different sensors that were enhanced by multiscale products of the wavelet coefficients. Using the wavelet transform, we used a multiresolution analysis to form products of coefficients across scales. Then, a fusion rule was applied to the product images to determine how the original images could be combined. Using this approach, we were able to decrease the sensitivity of the fusion process to noise.

关键词： multiresolution image processing sensor fusion wavelet transform

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Optimal sensor dimension reduction in estimation fusion

Optimal sensor dimension reduction in estimation fusion

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Conference on multisensor, multisource information fusion

作者： Song, EB Zhu, YM Zhou, J Sichuan Univ Dept Math Chengdu 610064 Peoples R China

ISBN: (纸本)0819457981

When there exists the limitation of communication bandwidth between sensors and a fusion center, one needs to optimally pre-compress sensor outputs-sensor observations or estimates before sensors' transmission to obtain a constrained optimal estimation at the fusion center in terms of the linear minimum error variance criterion. This paper will give an analytic solution of the optimal linear dimensionality compression matrix for the single sensor case and analyze the existence of the optimal linear dimensionality compression matrix for the multisensor case, as well as how to implement a Gauss-Seidel algorithm to search for an optimal solution to linear dimensionality compression matrix.

关键词： multisensor estimation fusion linear compression minimum variance estimation

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Scene recognition with audio-visual sensor fusion

Scene recognition with audio-visual sensor fusion

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Conference on multisensor, multisource information fusion

作者： Devicharan, D Mehrotra, KG Mohan, CK Varshney, PK Zuo, L Syracuse Univ Dept EECS Syracuse NY 13244 USA

ISBN: (纸本)0819457981

Several surveillance applications are characterized by the ability to gather information about the scene from more than one sensor modality, and heterogeneous sensor data must then be fused by the decision-maker. hi this paper, we discuss the issues relevant to developing a model for fusion of information from audio and visual sensors, and present a framework to enhance decision-making capabilities. In particular, our methodology focuses on the issues of temporal reasoning, uncertainty representations, and coupling between features inferred from data streams coming from different sensors. We propose a conditional probability-based representation for uncertainty, along with fuzzy rules to assist decision-making, and a matrix representation of the coupling between sensor data streams. We also develop a fusion algorithm that utilizes these representations.

关键词： multimodal sensor fusion scene recognition activity detection audio and visual surveillance

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Reduced memory multiscale fusion for combined topographic and bathymetric data

Reduced memory multiscale fusion for combined topographic an...

引用

Conference on multisensor, multisource information fusion

作者： Cheung, S Jhee, H Slatton, KC Univ Florida Dept Elect & Comp Engn Gainesville FL 32611 USA

ISBN: (纸本)0819457981

The multiscale Kalman smoother (MKS) is a globally optimal estimator for fusing remotely sensed data. The MKS algorithm can be readily parallelized because it operates on a Markov tree data structure. However, such an implementation requires a large amount of memory to store the parameters and estimates at each scale in the tree. This becomes particularly problematic in applications where the observations have very different resolutions and the finest scale data are sparse or aggregated. Such cases commonly arise when fusing data to capture both regional and local structure. In this work, we develop an efficient MKS algorithm and apply it to the fusion of topographic and bathymetric elevation data.

关键词： data fusion multiscale estimation topography and bathymetry

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MASM: A market architecture for sensor management in distributed sensor networks

MASM: A market architecture for sensor management in distrib...

引用

Conference on multisensor, multisource information fusion

作者： Viswanath, A Mullen, T Hall, D Garga, A Penn State Univ Sch Informat Sci & Technol University Pk PA 16802 USA

ISBN: (纸本)0819457981

Rapid developments in sensor technology and its applications have energized research efforts towards devising a firm theoretical foundation for sensor management. Ubiquitous sensing, wide bandwidth communications and distributed processing provide both opportunities and challenges for sensor and process control and optimization. Traditional optimization techniques do not have the ability to simultaneously consider the wildly non-commensurate measures involved in sensor management in a single optimization routine. Market-oriented programming provides a valuable and principled paradigm to designing systems to solve this dynamic and distributed resource allocation problem. We have modeled the sensor management scenario as a competitive market, wherein the sensor manager holds a combinatorial auction to sell the various items produced by the sensors and the communication channels. However, standard auction mechanisms have been found not to be directly applicable to the sensor management domain. For this purpose, we have developed a specialized market architecture MASM (Market architecture for Sensor Management). In MASM, the mission manager is responsible for deciding task allocations to the consumers and their corresponding budgets and the sensor manager is responsible for resource allocation to the various consumers. In addition to having a modified combinatorial winner determination algorithm, MASM has specialized sensor network modules that address commensurability issues between consumers and producers in the sensor network domain. A preliminary multi-sensor, multi-target simulation environment has been implemented to test the performance of the proposed system. MASM outperformed the information theoretic sensor manager in meeting the mission objectives in the simulation experiments.

关键词： sensor management market-oriented programming combinatorial auctions genetic algorithms information theory

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Effect of algorithm fusion and aggregation methodologies on the performance of a corrosion detection algorithm

Effect of algorithm fusion and aggregation methodologies on ...

引用

Conference on multisensor, multisource information fusion

作者： Nelson, BN Slebodnick, P Groeninger, W Lemieux, EJ GEO CENTERS INC Newton Ctr MA 02459 USA

ISBN: (纸本)0819457981

Over the last several years, the Naval Research Laboratory has been developing corrosion detection algorithms for assessing coatings conditions in tank and voids on US Navy Ships. The corrosion detection algorithm is based on four independent algorithms;two edge detection algorithms, a color algorithm and a grayscale algorithm. Of these four algorithms, the color algorithm is the key algorithm and to some extent drives overall algorithm performance. The four independent algorithm results are fused with other features to first generate an image level assessment of coatings damage. The image level results are next aggregated across a tank or void image set to generate a single coatings damage value for the tank or void being inspected. The color algorithm, algorithm fusion methodology and aggregation algorithm components are key to the overall performance of the corrosion detection algorithm. This paper will describe modifications that have been made in these three algorithm components to increase the corrosion detection algorithmis overall operating range, to improve the algorithmis ability to assess low coatings damage and to improve the accuracy of coatings damage classification at both the individual image as well as at the whole tank level.

关键词： information fusion image processing algorithm fusion corrosion detection algorithms

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