Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)
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Information fusion for image analysis: geospatial foundations for higher-level fusion
Tập 1 - Trang 562-569 vol.1
In support of the AFOSR program in Information Fusion, the CNS Technology Laboratory at Boston University is developing and applying neural models of image and signal processing, pattern learning and recognition, associative learning dynamics, and 3D visualization, to the domain of Information Fusion for Image Analysis in a geospatial context. Our research is focused by a challenge problem involvi......
#Image analysis #Laboratories #Context modeling #Signal processing #Pattern recognition #Image recognition #Vehicle dynamics #Visualization #Focusing #Terrorism
A new method for representing linguistic quantifications by random sets with applications to tracking and data fusion
Tập 2 - Trang 1308-1315 vol.2
There is an obvious need to be able to integrate both linguistic-based and stochastic-based input information in data fusion. In particular, this need is critical in addressing problems of track association, including cyber-state intrusions. This paper treats this issue through a new insight into how three apparently distinct mathematical tools can be combined: "boolean relational event algebra" (......
#Algebra #Fuzzy logic #Fuzzy sets #Educational institutions #Probabilistic logic #Arithmetic #Natural languages #Stochastic processes #Information security #Testing
A region-based multiresolution image fusion algorithm
Tập 2 - Trang 1557-1564 vol.2
We propose a multiresolution fusion algorithm which combines aspects of region and pixel-based fusion. We use multiresolution decompositions to represent the input images at different scales, and introduce a multiresolution/multimodal segmentation to partition the image domain at these scales. The basic idea is to use this segmentation to guide the fusion process. A region-based multiresolution ap......
#Image resolution #Image fusion #Signal resolution #Spatial resolution #Low pass filters #Image segmentation #Nonlinear filters #Mathematics #Computer science #Pixel
Sensor registration using airlanes
Tập 1 - Trang 354-360 vol.1
In integrated multisensor surveillance systems, a prerequisite for sensor data fusion is accurate registration of the sensors. In this paper, a recursive Bayesian method for sensor registration at the sensor level is proposed that exploits airlane information., A probabilistic model of the state of a target of opportunity is first formulated based on the airlane information. Then, the paper descri......
#Sensor fusion #Sensor systems #Surveillance #Monte Carlo methods #Bayesian methods #Radar tracking #Target tracking #Australia #Sensor phenomena and characterization #Data processing
Intelligent systems technology for higher level fusion
Tập 2 - Trang 1316-1323 vol.2
The premise of this paper is that a combination of information extraction techniques, knowledge bases and natural language processing technology can assist the intelligence analyst by providing higher level fusion capabilities to support the decision making process. The paper examines programs and the tools that have evolved from these programs being researched by the Air Force Research Laboratory......
#Intelligent systems #Data mining #Information analysis #Natural languages #Sensor fusion #Space technology #Natural language processing #Decision making #Laboratories #Counting circuits
Target association using harmonic frequency tracks
Tập 2 - Trang 860-864 vol.2
In this paper we show the potential of using frequency tracks developed from separated sensors and from multiple harmonics as a basis for correlation between the received signals. Significant correlation is consistent with source commonality, the received signals having originated from the same source, but practical effectiveness will depend on false alarm rates, an issue not addressed. The source......
#Target tracking #Power harmonic filters #Frequency estimation #Signal to noise ratio #Acoustic sensors #Delay estimation #Signal processing #Trajectory #Acoustic signal processing #Frequency modulation
Real-time multi-model interpolation of range-varying acoustic propagation
Tập 1 - Trang 207-212 vol.1
This paper presents an efficient method for extracting a multi-model interpolation function from a nonlinear system. The multi-model interpolation function consists of couple simplified time-varying models in neural-network structure to dynamically approximate the nature of the physical phenomena to be interpolated and extrapolated. The purpose of using the multi-model interpolation function is to......
#Interpolation #Acoustic propagation #Underwater acoustics #Nonlinear systems #Couplings #Propagation losses #Oceans #Sea measurements #Velocity measurement #Size measurement
Creating knowledge from heterogeneous data stove pipes
Tập 2 - Trang 1162-1167 vol.2
The modern day challenges posed by terrorism and crime mean that we must make better use of the data we collect. We need to create a process that can transform different types of explicit and structured data into actionable knowledge. We need to be able to create unified infrastructure that will support a single query across all of the data sources. This unified infrastructure would allow us to in......
#Data mining #Information analysis #Terrorism #Knowledge based systems #Text mining #Decision making #Data warehouses #Audio recording #Video recording #Knowledge management
Fusion of expert knowledge with data using belief functions: a case study in waste-water treatment
Tập 2 - Trang 1613-1618 vol.2
This paper presents a methodology for combining expert knowledge with information from statistical data, in classification and prediction problems. The method is based on (1) a case-based approach allowing to predict a quantity of interest from past cases in the form of a belief function, (2) Bayesian networks for modelling expert knowledge and (3) a tuning mechanism allowing to optimally discount......
#Computer aided software engineering #Wastewater treatment #Bayesian methods #Chemicals #Information resources #Predictive models #Optimization methods #Databases #Uncertainty
Signal parameter estimation based on one-bit quantized data from multiple sensors
Tập 1 - Trang 259-265 vol.1
We consider the problem of signal parameter estimation using a collection of distributed sensors. Each sensor quantizes its data to one-bit information and sends it to a fusion processor for the estimation of the parameter. Estimation of a constant signal in additive noise is considered. Since the emphasis is for the case of a moderately large number of sensors, we consider in this study two cases......
#Parameter estimation #Sensor fusion #Performance evaluation #Radar imaging #Radar tracking #Object detection #Target tracking #Monitoring #Frequency estimation #Wireless sensor networks