14 December 2015 Based on spatial-temporal multiframe association infrared target detection
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Proceedings Volume 9812, MIPPR 2015: Automatic Target Recognition and Navigation; 98121A (2015) https://doi.org/10.1117/12.2210969
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
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.
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Zhonghua Wang, Zhonghua Wang, Chao Wang, Chao Wang, Faliang Huang, Faliang Huang, Jianguo Liu, Jianguo Liu, } "Based on spatial-temporal multiframe association infrared target detection ", Proc. SPIE 9812, MIPPR 2015: Automatic Target Recognition and Navigation, 98121A (14 December 2015); doi: 10.1117/12.2210969; https://doi.org/10.1117/12.2210969
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