MULTI-SENSOR AUTOMATED CORRELATION AND CLASSIFICATION SYSTEM MSACCS

THE MULTI-SENSOR AUTOMATED CORRELATION AND CLASSIFICATION SYSTEM (MSACCS) PROVIDES CLASSIFICATION AND CORRELATION OF MULTI-SENSOR, MULTI-PLATFORM DATA BY IMPLEMENTING ASSOCIATION HEURISTICS AND ALGORITHMS THAT (1) RECOGNIZE THE CLOSE LINKAGE BETWEEN CLASSIFICATION AND CORRELATION, (2) MERGE FACETS OF BOTH PARAMETRIC AND GEOMETRIC CORRELATION, AND (3) APPROACH THE PROBLEM FROM A TEMPORAL PERSPECTIVE, PROVIDING ALLOWANCE FOR DATA GAINED AND LOST WITH TIME TO CONTRIBUTE TO THE DEVELOPMENT OF CLASSIFICATION. TO SUPPORT THE AUTOMATED ASPECT, MSACCS INTENDS TO INCORPORATE THE NWTDB WITH RELATIONAL DATA BASE, AND ASSUMED AUTOMATED INPUT OF ALL PARAMETRIC (ATTRIBUTE) DATA, AS IS AVAILABLE IN THE AN/BSY-2 COMBAT SYSTEM.