Data fusion, is the process of integration of multiple data and knowledge representing the same real-world object into a consistent, accurate, and useful representation.
Data fusion processes are often categorized as low, intermediate or high, depending on the processing stage at which fusion takes place. Low level 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.
Read more about Data Fusion: Geospatial Applications, Data Integration, The JDL/DFIG Model
Famous quotes containing the words data and/or fusion:
“Mental health data from the 1950’s on middle-aged women showed them to be a particularly distressed group, vulnerable to depression and feelings of uselessness. This isn’t surprising. If society tells you that your main role is to be attractive to men and you are getting crow’s feet, and to be a mother to children and yours are leaving home, no wonder you are distressed.”
—Grace Baruch (20th century)
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—Erich Fromm (1900–1980)