Data Fusion
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May 1, 2024
5 minute read
Data fusion is a multidisciplinary field that seeks to combine data originating from multiple sources so as to achieve a more comprehensive view of the world. By combining data from a variety of sources, data fusion aims to improve the quality, accuracy, reliability, and consistency of the data, as well as augment its content. What makes data fusion uniquely useful is that it can be used to correlate seemingly disparate pieces of information such as textual, numerical, or even spatial in nature. As a result, data fusion has found a home in applications as varied as object recognition, signal processing, data mining, mobile robot mapping, traffic data analysis, automated target recognition, and many more.
Why Learn Data Fusion?
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Find a path to becoming a Data Fusion. Learn more at:
OpenCourser.com/topic/jl6792/data
