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Proceedings Paper

Based on spatial-temporal multiframe association infrared target detection
Author(s): Zhonghua Wang; Chao Wang; Faliang Huang; Jianguo Liu
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Paper Abstract

Infrared small target detection is difficult due to several aspects, including the low signal-to-clutter ratio of the infrared image, and the small size, lack of shape and texture information of the target. a novel method, which is based on spatial-temporal association, is presented for infrared target detection. The algorithm consists of the three steps: Firstly, 2-dimensional histogram of entropy flow field is computed to estimate the background motion. Secondly, the difference image through background motion compensation is obtained. Finally, the targets are detected by spatial-temporal filter. The experiment results demonstrate that the proposed algorithm is robust to noise, and also fit to detect small targets under moving backgrounds in infrared image sequences.

Paper Details

Date Published: 14 December 2015
PDF: 8 pages
Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98121A (14 December 2015); doi: 10.1117/12.2210969
Show Author Affiliations
Zhonghua Wang, Nanchang Hangkong Univ. (China)
Chao Wang, Nanchang Hangkong Univ. (China)
Faliang Huang, Nanchang Hangkong Univ. (China)
Jianguo Liu, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 9812:
MIPPR 2015: Automatic Target Recognition and Navigation
Nong Sang; Xinjian Chen, Editor(s)

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