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Proceedings Paper

Predetection fusion for enhanced surveillance
Author(s): Ivan Kadar; Stelios C.A. Thomopoulos; James Llinas; Mark G. Alford; Martin E. Liggins
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Paper Abstract

The objective of this paper is to discuss the issues that are involved in the design of a multisensor data fusion system for surveillance. The system in mind consists primarily of three multifrequency radar sensors. However, the fusion design must be flexible to accommodate additional dissimilar sensors such as IR, EO, ESM, and Ladar. The motivation for the system design is the proof of the fusion concept for enhancing the detectability of small targets in clutter. In the context of down-selecting the proper configuration for multisensor data fusion, the issues of data modeling, fusion approaches, and fusion architectures need to be addressed for the particular application being considered.

Paper Details

Date Published: 1 February 1994
PDF: 11 pages
Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); doi: 10.1117/12.172529
Show Author Affiliations
Ivan Kadar, Grumman Corp. (United States)
Stelios C.A. Thomopoulos, The Pennsylvania State Univ. and Intelnet (Greece)
James Llinas, Calspan Corp. (United States)
Mark G. Alford, Rome Lab. (United States)
Martin E. Liggins, Rome Lab. (United States)

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

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