Detection algorithm based on spatial statistics for IR target

Shao-ping Zuo; Xiang-long Meng; Jin-jiang Liu; Guo-quan Liu; Hong-tao Li

doi:10.1117/12.2032812

11 September 2013 Detection algorithm based on spatial statistics for IR target

Shao-ping Zuo, Xiang-long Meng, Jin-jiang Liu, Guo-quan Liu, Hong-tao Li

Proceedings Volume 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications; 89071U (2013) https://doi.org/10.1117/12.2032812
Event: ISPDI 2013 - Fifth International Symposium on Photoelectronic Detection and Imaging, 2013, Beijing, China

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.

Citation Download Citation

Shao-ping Zuo, Xiang-long Meng, Jin-jiang Liu, Guo-quan Liu, and Hong-tao Li "Detection algorithm based on spatial statistics for IR target", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 89071U (11 September 2013); https://doi.org/10.1117/12.2032812

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