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Proceedings Paper

Effects of intersensor correlation on data fusion
Author(s): Stelios C.A. Thomopoulos
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Paper Abstract

The effect of intersensor correlation (ISC) on data fusion is discussed. ISC may have a detrimental effect on the performance of data fusion, in particular if the sign of the correlation coefficient is unknown and unaccounted for. Numerical studies in the literature verify the ISC effects. Using the Gaussian distribution, an analytical framework is developed to explain how ISC affect the fusion performance. Means for reducing the ISC in the fusion are also discussed.

Paper Details

Date Published: 1 February 1994
PDF: 11 pages
Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172530
Show Author Affiliations
Stelios C.A. Thomopoulos, The Pennsylvania State Univ. and Intelnet (United States)


Published in SPIE Proceedings Vol. 2093:
Substance Identification Analytics
James L. Flanagan; Richard J. Mammone; Albert E. Brandenstein; Edward Roy Pike; Stelios C. A. Thomopoulos; Marie-Paule Boyer; H. K. Huang; Osman M. Ratib, Editor(s)

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