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Data Fusion
Data Fusion - DF
Publications: 6,667| Citation Count: 42,084
Stemming Variations: data fusions
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    • Data fusion is an important component of applications for systems that use correlated data from multiple sources to determine the state of a system. As the state of the system being monitored and available resources change, the general data fusion framework should change dynamically based on the current environment and available resources in the system...

    Hervaldo S. Carvalho, et al. A general data fusion architecture

    • Data Fusion is the combination of a number of independent search results, relating to the same document collection, into a single result to be presented to the user. A number of probabilistic data fusion models have been shown to be effective in empirical studies. These typically attempt to estimate the probability that particular documents will be relevant, based on training data. However, little attempt has been made to gauge how the accuracy of these estimations affect fusion performance...

    David Lillis, et al. Estimating probabilities for effective data fusion

    • Data fusion is a formal framework in which is expressed means and tools for the alliance of data originating from different sources. It aims at obtaining information of greater quality; the exact definition of 'greater quality' will depend upon the application. Satellites remote sensing image fusion has been a hot research topic of remote sensing image processing. Make Multispectral images matching with TM panchromatic image, and the error control in 0.3 pixels within...

    Wu Wenbo, et al. STUDY OF REMOTE SENSING IMAGE FUSION AND ITS APPLICATION IN IMAGE CLAS...

    • Data fusion is the process of combining the output of a number of Information Retrieval (IR) algorithms into a single result set, to achieve greater retrieval performance. ProbFuse is a data fusion algorithm that uses the history of the underlying IR algorithms to estimate the probability that subsequent result sets include relevant documents in particular positions. It has been shown to out-perform CombMNZ, the standard data fusion algorithm against which to compare performance, in a number of previous experiments...

    David Lillis, et al. Probabilistic data fusion on a large document collection

    • Data fusion is a term recently offered for the use of information from various sources for interpretation. The data may be independent or redundant. The data can be obtained using different methods (remote sensing, geophysics, hydrogeology, etc.), different sensors (e.g., spectral scanners, magnetometers, groundwater leveling tools) at the same time or at different times, as well as a-priori information (e.g., state-of-the-art knowledge, information from outcrops and boreholes, control points)...

    Klaus Knödel, et al. Data Fusion

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