The present paper deals with feature-based landmine detection by means of UWB Ground Penetrating Radar (GPR). A waveform of target response is used as as discriminative feature for two feature-based detection schemes. The output of each DPS is a confidence map obtained by means of energy projection of a 3D distributed feature onto a 2D surface. An automated detection is made over the obtained confidence maps and mines detectability is analyzed on the basis of the Receiver Operation Characteristics curves. Performances of the feature- and energy-based data processing schemes (DPS) applied to the experimental data are compared. It is shown that suggested wave-form based detection is stable to change of the environment.
|Title of host publication||ICU 2005 - IEEE International Conference on Ultra-Wideband|
|Number of pages||6|
|Publication status||Published - 2005|
- conference contrib. refereed
- Conf.proc. > 3 pag