Smear radiometric correction algorithm in star images based on kernel density estimation

Jianwei Gao, Zhen Zhang, Rui Yao, Jinqiu Sun, Yanning Zhang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

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.

源语言英语
主期刊名International Symposium on Photoelectronic Detection and Imaging 2011
主期刊副标题Advances in Imaging Detectors and Applications
DOI
出版状态已出版 - 2011
活动International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications - Beijing, 中国
期限: 24 5月 201126 5月 2011

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
8194
ISSN(印刷版)0277-786X

会议

会议International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications
国家/地区中国
Beijing
时期24/05/1126/05/11

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