1 November 1990 Reconnaissance system performance prediction through image processing
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Abstract
After establishing a working-base image of given pixel-resolution and digitization, in conjunction with a calibration transform, the present method for image-processing based reconnaissance system performance evaluation gives attention to scaling, atmospheric, and MTF factors. The 'kernel spread-point definition', which is a weighted map of the redistribution of energy from a point object, is used to emulate lens-diffraction limitations, linear image motion, and simusoidal or random vibration. Recognition and identification criteria can be evaluated by simply looking at targets.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary L. Conrad, Gary L. Conrad, } "Reconnaissance system performance prediction through image processing", Proc. SPIE 1342, Airborne Reconnaissance XIV, (1 November 1990); doi: 10.1117/12.23139; https://doi.org/10.1117/12.23139
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