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Proceedings Paper

An infrared small target detection method based on visual spatio-temporal local contrast measure
Author(s): Longguang Wang; Zaiping Li; Xinpu Deng
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Paper Abstract

Human visual system (HVS) can detect the target utilizing the contrast of the target and the surrounding background under a low SNR, it is not only sensitive to the local contrast in space domain, but also in time domain. The existing infrared small target detection methods based on HVS are mainly based on the local contrast in space domain, while the false alarm caused by the background clutter could be serious. In consideration of this problem, an infrared small target detection method based on visual spatio-temporal contrast measure (STLCM) is proposed. At the first stage, a temporal local contrast measure (TLCM) was presented. At the second stage, visual spatio-temporal contrast measure was derived by the fusion of the local contrast in time and space domain, then an adaptive threshold was adopted in the saliency map of STLCM to segment the target. Experimental results demonstrate that the proposed method is superior in compressing the false alarm and efficient in different conditions.

Paper Details

Date Published: 8 March 2017
PDF: 7 pages
Proc. SPIE 10255, Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016, 102552Z (8 March 2017); doi: 10.1117/12.2264929
Show Author Affiliations
Longguang Wang, National Univ. of Defense Technology (China)
Zaiping Li, National Univ. of Defense Technology (China)
Xinpu Deng, National Univ. of Defense Technology (China)


Published in SPIE Proceedings Vol. 10255:
Selected Papers of the Chinese Society for Optical Engineering Conferences held October and November 2016
Yueguang Lv; Jialing Le; Hesheng Chen; Jianyu Wang; Jianda Shao, Editor(s)

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