Probabilistic fusion of ATR results

Technical Report · Sat Aug 01 00:00:00 EDT 1998

DOI:https://doi.org/10.2172/2430· OSTI ID:2430

Simonson, K M ^[1]

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1. Sandia National Laboratories, 02523

The problem of combining multi-source information in applications related to automatic target recognition (ATR) is addressed. A mathematical approach is proposed for fusing the (possibly dependent) outputs of multiple ATR systems or algorithms. The method is derived from statistical principles, and the fused decision takes the form of an hypothesis test. The distribution of the test statistic is approximated as gamma, with parameters estimated from available training data. In a brief simulation study, the proposed method outperforms several alternative fusion techniques.

• Research Organization: Sandia National Laboratories (SNL-NM), Albuquerque, NM
• Sponsoring Organization: DOD; DOE
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 2430
• Report Number(s): SAND--98-1699; 40040310900; ON: DE00002430
• Country of Publication: United States
• Language: English

Related Subjects

45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
99 GENERAL AND MISCELLANEOUS
Algorithms
Comparative Evaluations
Experimental Data
Identification Systems
Probabilistic Estimation