Confidence fusion targets detection based on fuzzy integral

2009 
Aimming at long distance targets detection problem in visual and thermal infrared image sequences,a confidence fusion detection method based on fuzzy integral.The method acquires the moving targets area by frame difference accumulation in two sensor image sequences,and we defined the target reliable measurement by the intensity analysis of the moving target area.The detection results are acquired by confidence fusion using the fuzzy integral fusion function.The experimental results show that fuzzy classification effectiveness better in order to illustrate that this approach to detect the target is reliable and robust.
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