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

^*Corresponding author for this work

School of Astronautics

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	2009 IEEE International Conference on Information and Automation, ICIA 2009
Pages	985-989
Number of pages	5
DOIs	https://doi.org/10.1109/ICINFA.2009.5205061
State	Published - 2009
Event	2009 IEEE International Conference on Information and Automation, ICIA 2009 - Zhuhai, Macau, China Duration: 22 Jun 2009 → 25 Jun 2009

Publication series

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

Conference

Conference	2009 IEEE International Conference on Information and Automation, ICIA 2009
Country/Territory	China
City	Zhuhai, Macau
Period	22/06/09 → 25/06/09

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10.1109/ICINFA.2009.5205061

Cite this

@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. in 2009 IEEE International Conference on Information and Automation, ICIA 2009., 5205061, 2009 IEEE International Conference on Information and Automation, ICIA 2009, pp. 985-989, 2009 IEEE International Conference on Information and Automation, ICIA 2009, Zhuhai, Macau, China, 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. p. 985-989 5205061 (2009 IEEE International Conference on Information and Automation, ICIA 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Bai, Yicheng

AU - Li, Junwei

PY - 2009

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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

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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

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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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