Modeling human false alarms using clutter metrics

Honghua Chang; Jianqi Zhang; Delian Liu

doi:10.1117/12.750260

15 November 2007 Modeling human false alarms using clutter metrics

Honghua Chang, Jianqi Zhang, Delian Liu

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67863N (2007) https://doi.org/10.1117/12.750260
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

The TSSIM clutter metrics correlate amazingly well to both the experimental detection probabilities and the mean detection time. Based on the analysis of both probabilities of the correct detections and of the total (correct and false) number of detections made by human observers, a mathematical formula for predicting the probability of false alarms as a function of clutter metrics is presented in this paper. Comparing real experimental data with the predicted products reveal very good agreement, which is very helpful in understanding human behavior mechanisms regarding target detection tasks. It is concluded that the human observer behaves as fixed threshold signal processor /Non-CFAR.

Citation Download Citation

Honghua Chang, Jianqi Zhang, and Delian Liu "Modeling human false alarms using clutter metrics", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67863N (15 November 2007); https://doi.org/10.1117/12.750260

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