An algorithm of small and dim target detection in deep space background

Hong Zhang; Yicheng Bai; Junwei Li

doi:10.1109/ICINFA.2009.5205061

An algorithm of small and dim target detection in deep space background

Hong Zhang^*
, Yicheng Bai
, Junwei Li

^*此作品的通讯作者

宇航学院

Beihang University
National Key Laboratory on Optical Features of Environment and Target
CASIC

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

3 引用（Scopus）

摘要

In this article, a method of image registration based on Feature Space of Distance (FSD) between points is firstly introduced into dim and small target detection in deep space background. This algorithm uses the feature space to calculate the transform parameters and realizes the dim and small target detection through the suppression of the star background. The experimental results indicate that our method is effective and can be applied to automatic target recognition (ATR) system.

源语言	英语
主期刊名	2009 IEEE International Conference on Information and Automation, ICIA 2009
页	985-989
页数	5
DOI	https://doi.org/10.1109/ICINFA.2009.5205061
出版状态	已出版 - 2009
活动	2009 IEEE International Conference on Information and Automation, ICIA 2009 - Zhuhai, Macau, 中国期限: 22 6月 2009 → 25 6月 2009

出版系列

姓名	2009 IEEE International Conference on Information and Automation, ICIA 2009

会议

会议	2009 IEEE International Conference on Information and Automation, ICIA 2009
国家/地区	中国
市	Zhuhai, Macau
时期	22/06/09 → 25/06/09

访问文件

10.1109/ICINFA.2009.5205061

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引用此

@inproceedings{2128dd0471234c368462a6a2150b7d6c,

title = "An algorithm of small and dim target detection in deep space background",

abstract = "In this article, a method of image registration based on Feature Space of Distance (FSD) between points is firstly introduced into dim and small target detection in deep space background. This algorithm uses the feature space to calculate the transform parameters and realizes the dim and small target detection through the suppression of the star background. The experimental results indicate that our method is effective and can be applied to automatic target recognition (ATR) system.",

author = "Hong Zhang and Yicheng Bai and Junwei Li",

year = "2009",

doi = "10.1109/ICINFA.2009.5205061",

language = "英语",

isbn = "9781424436088",

series = "2009 IEEE International Conference on Information and Automation, ICIA 2009",

pages = "985--989",

booktitle = "2009 IEEE International Conference on Information and Automation, ICIA 2009",

note = "2009 IEEE International Conference on Information and Automation, ICIA 2009 ; Conference date: 22-06-2009 Through 25-06-2009",

}

Zhang, H, Bai, Y & Li, J 2009, An algorithm of small and dim target detection in deep space background. 在 2009 IEEE International Conference on Information and Automation, ICIA 2009., 5205061, 2009 IEEE International Conference on Information and Automation, ICIA 2009, 页码 985-989, 2009 IEEE International Conference on Information and Automation, ICIA 2009, Zhuhai, Macau, 中国, 22/06/09. https://doi.org/10.1109/ICINFA.2009.5205061

An algorithm of small and dim target detection in deep space background. / Zhang, Hong; Bai, Yicheng; Li, Junwei.
2009 IEEE International Conference on Information and Automation, ICIA 2009. 2009. 页码 985-989 5205061 (2009 IEEE International Conference on Information and Automation, ICIA 2009).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - An algorithm of small and dim target detection in deep space background

AU - Zhang, Hong

AU - Bai, Yicheng

AU - Li, Junwei

PY - 2009

Y1 - 2009

N2 - In this article, a method of image registration based on Feature Space of Distance (FSD) between points is firstly introduced into dim and small target detection in deep space background. This algorithm uses the feature space to calculate the transform parameters and realizes the dim and small target detection through the suppression of the star background. The experimental results indicate that our method is effective and can be applied to automatic target recognition (ATR) system.

AB - In this article, a method of image registration based on Feature Space of Distance (FSD) between points is firstly introduced into dim and small target detection in deep space background. This algorithm uses the feature space to calculate the transform parameters and realizes the dim and small target detection through the suppression of the star background. The experimental results indicate that our method is effective and can be applied to automatic target recognition (ATR) system.

UR - https://www.scopus.com/pages/publications/70449637340

U2 - 10.1109/ICINFA.2009.5205061

DO - 10.1109/ICINFA.2009.5205061

M3 - 会议稿件

AN - SCOPUS:70449637340

SN - 9781424436088

T3 - 2009 IEEE International Conference on Information and Automation, ICIA 2009

SP - 985

EP - 989

BT - 2009 IEEE International Conference on Information and Automation, ICIA 2009

T2 - 2009 IEEE International Conference on Information and Automation, ICIA 2009

Y2 - 22 June 2009 through 25 June 2009

ER -

An algorithm of small and dim target detection in deep space background

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