systematic centroid error compensation for the simple gaussian psf in an electronic star map simulator

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ID: 163353
2014
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Abstract
Simulated star maps serve as convenient inputs for the test of a star sensor, whose standardability mostly depends on the centroid precision of the simulated star image, so it is necessary to accomplish systematic error compensation for the simple Gaussian PSF (or SPSF, in which PSF denotes point spread function). Firstly, the error mechanism of the SPSF is described, the reason of centroid deviations of the simulated star images based on SPSF lies in the unreasonable sampling positions (the centers of the covered pixels) of the Gaussian probability density function. Then in reference to the IPSF simulated star image spots regarded as ideal ones, and by means of normalization and numerical fitting, the pixel center offset function expressions are got, so the systematic centroid error compensation can be executed simply by substituting the pixel central position with the offset position in the SPSF. Finally, the centroid precision tests are conducted for the three big error cases of Gaussian radius σ = 0.5, 0.6, 0.671 pixel, and the centroid accuracy with the compensated SPSF (when σ = 0.5) is improved to 2.83 times that of the primitive SPSF, reaching a 0.008 pixel error, an equivalent level of the IPSF. Besides its simplicity, the compensated SPSF further increases both the shape similarity and the centroid precision of simulated star images, which helps to improve the image quality and the standardability of the outputs of an electronic star map simulator (ESS).
Reference Key
haiyong2014chinesesystematic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Wang Haiyong;Wang Yonghai;Li Zhifeng;Song Zhenfei
Journal Cancer epidemiology
Year 2014
DOI
10.1016/j.cja.2014.03.027
URL
http://www.sciencedirect.com/science/article/pii/S1000936114000594
Keywords
image analysis point spread function error compensation astronautics aeronautics star sensormotor vehicles

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