Proceedings Paper
Multi-parametric data fusion for enhanced object identification and discrimination| Format | Member Price | Non-Member Price |
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Paper Abstract
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.
Paper Details
Date Published: 23 May 2013
PDF: 10 pages
Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87450W (23 May 2013); doi: 10.1117/12.2016519
Published in SPIE Proceedings Vol. 8745:
Signal Processing, Sensor Fusion, and Target Recognition XXII
Ivan Kadar, Editor(s)
PDF: 10 pages
Proc. SPIE 8745, Signal Processing, Sensor Fusion, and Target Recognition XXII, 87450W (23 May 2013); doi: 10.1117/12.2016519
Show Author Affiliations
Stephen Kupiec, Advanced Systems & Technologies, Inc. (United States)
Vladimir Markov, Advanced Systems & Technologies, Inc. (United States)
Vladimir Markov, Advanced Systems & Technologies, Inc. (United States)
Joseph Chavez, Air Force Research Lab. (United States)
Published in SPIE Proceedings Vol. 8745:
Signal Processing, Sensor Fusion, and Target Recognition XXII
Ivan Kadar, Editor(s)
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