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29 April 2010Depth estimation of buried objects using wavelet transform and statistical hypothesis testing
In the underground inspection problem, signature of a big target at a certain depth may give equivalent
information to the signature of a smaller target at shallower depth, unless depth information is not used. This
results in a difficulty in the identification process. Therefore, depth information is coming into prominence
in the classification step to increase the identification performance. In this study, we propose a burial depth
estimation method on GPR data. In our work, discrete wavelet transform is used in the preprocessing step.
After this stage, statistical hypothesis tests are utilized to detect the statistical discrepancies in the returning
signals at different depth levels.
A. Burak Yoldemir andMehmet Sezgin
"Depth estimation of buried objects using wavelet transform and statistical hypothesis testing", Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 76642C (29 April 2010); https://doi.org/10.1117/12.852529
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A. Burak Yoldemir, Mehmet Sezgin, "Depth estimation of buried objects using wavelet transform and statistical hypothesis testing," Proc. SPIE 7664, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XV, 76642C (29 April 2010); https://doi.org/10.1117/12.852529