1 August 2002 Impulse response function (IPR) estimation method using detected synthetic aperature radar (SAR) mission data
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Abstract
Eastman Kodak Company conducts image quality monitoring of U.S. Government-operated Synthetic Aperture Radar (SAR) sensors. Our quality assurance methodology uses automated metrics in parallel with human analyst scoring of image quality factors to track quality trends in an image chain. A key feature of the program is that analysis is performed periodically on images selected from actual mission data. Historically, tasking the sensors to fly over calibrated test sites on such a regular basis has failed because of contention for collection resources from higher priority jobs. In addition, detected, 8-bit NITF data is often the only image product that is distributed. The scarcity of high radar cross-section (RCS) individual point scatterers as well as the lack of complex data provides challenges to the ability to estimate a key image quality parameter, the impulse response function (IPR). This paper discusses a method to isolate and aggregate signatures of multiple low signal-to-noise ratio IPRs in detected mission imagery. Measures of -3dB and -15dB IPR widths in range and azimuth have been realized along with estimates of far sidelobe levels.
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Mark S. Clinard, Mark S. Clinard, Charles E. Farnung, Charles E. Farnung, Peter Kopacz, Peter Kopacz, Kristo S. Miettinen, Kristo S. Miettinen, } "Impulse response function (IPR) estimation method using detected synthetic aperature radar (SAR) mission data", Proc. SPIE 4727, Algorithms for Synthetic Aperture Radar Imagery IX, (1 August 2002); doi: 10.1117/12.478689; https://doi.org/10.1117/12.478689
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