REFERENCE SYSTEM AND IMAGER RERGISTRATION PERFORMANCE ANALYSIS FOR MULTI-PLATFORM OPERATIONS
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50 MALL ROAD, Burlington, MA, 01803
Dr. Alan Chao
AbstractWe propose a comprehensive program for analyzing the performance of multi-source georegistration systems needed to support theater-wide sharing and fusing of information for Air Force platforms and missions. We have designed our program to build upon the work done under AFRL's Theater-wide Reference Information Management (TRIM) program. While TRIM has analyzed the accuracy of multi-source fusion for point features as a function of reference-system errors, a key assumption has been that the feature-correlation problem can be solved perfectly. We relax this assumption by replacing the idealized perfect correlator with a multi-source feature-matching image stages: (i) a geo-coding stage, through which reference-system errors propagate to yield geo-coding error, and (ii) an image-registration stage, through which geo-coding errors propagate to yield overall system errors. Because TRIM has already quantified the first-stage performance, we focus on quantifying the second-stage performance and on combining the performance. By this means, we assess current georegistration capabilities and identify potential enhancements to reference-system technology that could produce significant gains to fusion performance.
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