1 May 1999 Understanding image quality losses due to smear in high-resolution remote sensing imaging systems
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Abstract
Space-based high-resolution scanning array imaging systems have the potential to introduce large amounts of image smear. When designing these systems, it is useful to understand how smear will degrade image quality. A brief description of the causes of smear and a simple mathematical model are presented. A series of image simulations (for a system in which ? FN/p = 1.0, where ? is the mean wavelength for a panchromatic system, FN is the system f number, and p is the pixel pitch of the detectors) are performed in which along scan smear (ranging from 1.0 to 8.0 pixels) is introduced. Using the National Imagery Inter- pretability Rating Scale (NIIRS), expert observers rated ?NIIRS difference in image quality between the images with simulated smear and the original "unsmeared" image. The functional relationship between smear error and image quality (in units of?NIIRS) is determined.
Steven L. Smith, Steven L. Smith, James A. Mooney, James A. Mooney, Theodore A. Tantalo, Theodore A. Tantalo, Robert D. Fiete, Robert D. Fiete, } "Understanding image quality losses due to smear in high-resolution remote sensing imaging systems," Optical Engineering 38(5), (1 May 1999). https://doi.org/10.1117/1.602054 . Submission:
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