We employ a near-field coherence factor for rough surface clutter mitigation in forward-looking ground penetrating radar imagery. The coherence factor is first used to generate a 'coherence map' of the region of interest (ROI). Then, a pixel-by-pixel multiplication of a tomographic image of the ROI with the coherence map is performed to generate an enhanced image. Electromagnetic modeled data of shallow buried targets is used to demonstrate the effectiveness of the proposed approach.
Coherence factor for rough surface clutter mitigation in forward-looking GPR / Comite, Davide; Ahmad, Fauzia; Dogaru, Traian; Amin, Moeness G.. - ELETTRONICO. - (2017), pp. 1803-1806. (Intervento presentato al convegno 2017 IEEE Radar Conference, RadarConf 2017 tenutosi a The Westin Seattle, usa nel 2017) [10.1109/RADAR.2017.7944500].
Coherence factor for rough surface clutter mitigation in forward-looking GPR
Comite, Davide;
2017
Abstract
We employ a near-field coherence factor for rough surface clutter mitigation in forward-looking ground penetrating radar imagery. The coherence factor is first used to generate a 'coherence map' of the region of interest (ROI). Then, a pixel-by-pixel multiplication of a tomographic image of the ROI with the coherence map is performed to generate an enhanced image. Electromagnetic modeled data of shallow buried targets is used to demonstrate the effectiveness of the proposed approach.| File | Dimensione | Formato | |
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