Data Fusion
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High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! Data fusion, is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences, which will be more efficient and potentially more accurate than if they were achieved by means of a single source. Fusion processes are often categorized as low, intermediate or high, depending on the processing stage at which fusion takes place. Low level fusion, (Data fusion) combines several sources of raw data to produce new raw data. The expectat...
High Quality Content by WIKIPEDIA articles! High Quality Content by WIKIPEDIA articles! Data fusion, is generally defined as the use of techniques that combine data from multiple sources and gather that information in order to achieve inferences, which will be more efficient and potentially more accurate than if they were achieved by means of a single source. Fusion processes are often categorized as low, intermediate or high, depending on the processing stage at which fusion takes place. Low level fusion, (Data fusion) combines several sources of raw data to produce new raw data. The expectation is that fused data is more informative and synthetic than the original inputs. For example, sensor fusion is also known as (multi-sensor) Data fusion and is a subset of information fusion.
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