Predetection fusion for enhanced surveillance

Ivan Kadar; Stelios C.A. Thomopoulos; James Llinas; Mark G. Alford; Martin E. Liggins

doi:10.1117/12.172529

1 February 1994 Predetection fusion for enhanced surveillance

Ivan Kadar, Stelios C.A. Thomopoulos, James Llinas, Mark G. Alford, Martin E. Liggins

Proceedings Volume 2093, Substance Identification Analytics; (1994) https://doi.org/10.1117/12.172529
Event: Substance Identification Technologies, 1993, Innsbruck, Austria

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.

Citation Download Citation

Ivan Kadar, Stelios C.A. Thomopoulos, James Llinas, Mark G. Alford, and Martin E. Liggins "Predetection fusion for enhanced surveillance", Proc. SPIE 2093, Substance Identification Analytics, (1 February 1994); https://doi.org/10.1117/12.172529

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