THz identification and Bayes modeling

Andre Sokolnikov

doi:10.1117/12.2268807

1 May 2017 THz identification and Bayes modeling

Andre Sokolnikov

Proceedings Volume 10202, Automatic Target Recognition XXVII; 102020O (2017) https://doi.org/10.1117/12.2268807
Event: SPIE Defense + Security, 2017, Anaheim, CA, United States

Abstract

THz Identification is a developing technology. Sensing in the THz range potentially gives opportunity for short range radar sensing because THz waves can better penetrate through obscured atmosphere, such as fog, than visible light. The lower scattering of THz as opposed to the visible light results also in significantly better imaging than in IR spectrum. A much higher contrast can be achieved in medical trans-illumination applications than with X-rays or visible light. The same THz radiation qualities produce better tomographical images from hard surfaces, e.g. ceramics. This effect comes from the delay in time of reflected THz pulses detection. For special or commercial applications alike, the industrial quality control of defects is facilitated with a lower cost. The effectiveness of THz wave measurements is increased with computational methods. One of them is Bayes modeling. Examples of this kind of mathematical modeling are considered.

Citation Download Citation

Andre Sokolnikov "THz identification and Bayes modeling", Proc. SPIE 10202, Automatic Target Recognition XXVII, 102020O (1 May 2017); https://doi.org/10.1117/12.2268807

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