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23 May 2013Multi-parametric data fusion for enhanced object identification and discrimination
Effective fusion of multi-parametric heterogeneous data is essential for better object identification, characterization
and discrimination. In this report we discuss a practical example of fusing the data provided by imaging and nonimaging
electro-optic sensors. The proposed approach allows the processing, integration and interpretation of such
data streams from the sensors. Practical examples of improved accuracy in discriminating similar but non-identical
objects are presented.
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Stephen Kupiec, Vladimir Markov, Joseph Chavez, "Multi-parametric data fusion for enhanced object identification and discrimination," Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87450W (23 May 2013); https://doi.org/10.1117/12.2016519