Small target detection based on accumulated center-surround difference measure

Xie, K; Fu, K; Zhou, T; Zhang, J; Yang, J; Wu, Q

Small target detection based on accumulated center-surround difference measure

Xie, K Fu, K Zhou, T Zhang, J Yang, J Wu, Q

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Publication Type:: Journal Article
Citation:: Infrared Physics and Technology, 2014, 67 pp. 229 - 236
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Xie, K	en_US
dc.contributor.author	Fu, K	en_US
dc.contributor.author	Zhou, T	en_US
dc.contributor.author	Zhang, J	en_US
dc.contributor.author	Yang, J	en_US
dc.contributor.author	Wu, Q https://orcid.org/0000-0001-5641-2483	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Infrared Physics and Technology, 2014, 67 pp. 229 - 236	en_US
dc.identifier.issn	1350-4495	en_US
dc.identifier.uri	http://hdl.handle.net/10453/34951
dc.description.abstract	Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some difficulties remained due to the clutter environment such as the cloud edge and the horizontal line. In the homogeneous area such as sky, cloud-inner area and sea surface area, target can easily be detected, but in heterogeneous area which contains cloud edge, sky-sea line the target may be falsely detected. This paper proposes a novel method called accumulated center-surround difference measure to detect infrared small target in heavy clutter. Each pixel's accumulated center-surround difference measure is computed by using sliding window manner. The measure can effectively distinguish target region and heterogeneous region. Experimental results show our method achieves better performance. © 2014 Elsevier B.V. All rights reserved.	en_US
dc.relation.ispartof	Infrared Physics and Technology	en_US
dc.relation.isbasedon	10.1016/j.infrared.2014.07.006	en_US
dc.subject.classification	Applied Physics	en_US
dc.title	Small target detection based on accumulated center-surround difference measure	en_US
dc.type	Journal Article
utslib.citation.volume	67	en_US
utslib.for	0205 Optical Physics	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	0204 Condensed Matter Physics	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	67	en_US

Abstract:

Small target detection is a critical problem in the Infrared Search And Track (IRST) system. Although it has been studied for years, there are some difficulties remained due to the clutter environment such as the cloud edge and the horizontal line. In the homogeneous area such as sky, cloud-inner area and sea surface area, target can easily be detected, but in heterogeneous area which contains cloud edge, sky-sea line the target may be falsely detected. This paper proposes a novel method called accumulated center-surround difference measure to detect infrared small target in heavy clutter. Each pixel's accumulated center-surround difference measure is computed by using sliding window manner. The measure can effectively distinguish target region and heterogeneous region. Experimental results show our method achieves better performance. © 2014 Elsevier B.V. All rights reserved.

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http://hdl.handle.net/10453/34951