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Proceedings Paper

Smear radiometric correction algorithm in star images based on kernel density estimation
Author(s): Jianwei Gao; Zhen Zhang; Rui Yao; Jinqiu Sun; Yanning Zhang
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Paper Abstract

In order to eliminate the influence of Smear Effect on follow-up processing of star images, this paper researched the source and statistical model of Smear Effect. After researching the working progress of inter-line Charge Coupled Device(CCD), inter-frame CCD and full-frame CCD, this paper builds a statistical model based on kernel density estimation for the background noise and then proposes an algorithm to do radiometric correction in smear images based on modeling and estimating the probability density function of background noise in star image. Experimental results indicate that the algorithm in this paper can remove smear effect in star image efficiently while retaining origin information. The method in this paper can eliminate the influence of smear effect in star images while retaining origin information.

Paper Details

Date Published: 18 August 2011
PDF: 6 pages
Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 819421 (18 August 2011); doi: 10.1117/12.900507
Show Author Affiliations
Jianwei Gao, Northwestern Polytechnical Univ. (China)
Zhen Zhang, Northwestern Polytechnical Univ. (China)
Rui Yao, Northwestern Polytechnical Univ. (China)
Jinqiu Sun, Northwestern Polytechnical Univ. (China)
Yanning Zhang, Northwestern Polytechnical Univ. (China)


Published in SPIE Proceedings Vol. 8194:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications
Makoto Ikeda; Nanjian Wu; Guangjun Zhang; Kecong Ai, Editor(s)

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