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Proceedings Paper

Detection algorithm based on spatial statistics for IR target
Author(s): Shao-ping Zuo; Xiang-long Meng; Jin-jiang Liu; Guo-quan Liu; Hong-tao Li
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Paper Abstract

A point target detection algorithm for IR image is proposed based on spatial statistics. Firstly, according to the spatial correlation of atmosphere background in infrared image, the spatial statistical analysis method is adopted, and a background suppression algorithm based on Kriging is put forward. Secondly, using peak detection algorithm merged with Kriging, the problem of high false-alarm probability for adaptive threshold filter is solved by dual channel filter. The result shows that the detection probability of the algorithm reaches to 99 percent when the input SCR is no less than 6 and probability of false alarm is between 1×10-3 and 1×10-4.

Paper Details

Date Published: 11 September 2013
PDF: 7 pages
Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89071U (11 September 2013); doi: 10.1117/12.2032812
Show Author Affiliations
Shao-ping Zuo, Baicheng Ordnance Test Ctr. of China (China)
Xiang-long Meng, Baicheng Ordnance Test Ctr. of China (China)
Jin-jiang Liu, Baicheng Ordnance Test Ctr. of China (China)
Guo-quan Liu, Baicheng Ordnance Test Ctr. of China (China)
Hong-tao Li, Baicheng Ordnance Test Ctr. of China (China)


Published in SPIE Proceedings Vol. 8907:
International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications
Haimei Gong; Zelin Shi; Qian Chen; Jin Lu, Editor(s)

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