An Evaluation of SAR ATR Algorithm Performance Sensitivity to MSTAR Extended Operating Conditions
SVERDRUP TECHNOLOGY INC BEAVERCREEK OHTACTICAL SYSTEMS GROUP
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Testing a SAR Automatic Target Recognition ATR algorithm at or very near its training conditions often yields near perfect results as we commonly see in the literature. This paper describes a series of experiments near and not so near to ATR algorithm training conditions. Experiments are setup to isolate individual Extended Operating Conditions EOCs and performance is reported at these points. Additional experiments are setup to isolate specific combinations of EOCs and the SAR ATR algorithms performance is measured here also. The experiments presented here are a by-product of a DARPAAFRL Moving and Stationary Target Acquisition and Recognition MSTAR program evaluation conducted in November of 1997. Although the tests conducted here are in the domain of EOCs, these tests do not encompass the real world i.e., what you might see on the battlefield problem. In addition to performance results this paper describes an evaluation methodology including the Extended Operating Condition concept, as well as, data algorithm and figures of merit. In summary, this paper highlights the sensitivity that a baseline Mean Squared Error MSE ATR algorithm has to various operating conditions both near and varying degrees away from the training conditions.
- Active and Passive Radar Detection and Equipment
- Target Direction, Range and Position Finding