Coherence-Factor-Based Rough Surface Clutter Suppression for Forward-Looking GPR Imaging
| Autor: | Moeness G. Amin, Traian Dogaru, Davide Comite, Fauzia Ahmad |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Science
0211 other engineering and technologies Near and far field 02 engineering and technology law.invention Optics surface clutter law antenna arrays coherence factor forward-looking GPR microwave imaging near-field 0202 electrical engineering electronic engineering information engineering Radar 021101 geological & geomatics engineering Physics Tomographic reconstruction business.industry 020206 networking & telecommunications Coherence (statistics) Microwave imaging Computer Science::Computer Vision and Pattern Recognition Ground-penetrating radar General Earth and Planetary Sciences Clutter forward-looking gpr business Microwave |
| Zdroj: | Remote Sensing, Vol 12, Iss 5, p 857 (2020) Remote Sensing; Volume 12; Issue 5; Pages: 857 |
| ISSN: | 2072-4292 |
| Popis: | We present an enhanced imaging procedure for suppression of the rough surface clutter arising in forward-looking ground-penetrating radar (FL-GPR) applications. The procedure is based on a matched filtering formulation of microwave tomographic imaging, and employs coherence factor (CF) for clutter suppression. After tomographic reconstruction, the CF is first applied to generate a “coherence map” of the region in front of the FL-GPR system illuminated by the transmitting antennas. A pixel-by-pixel multiplication of the tomographic image with the coherence map is then performed to generate the clutter-suppressed image. The effectiveness of the CF approach is demonstrated both qualitatively and quantitatively using electromagnetic modeled data of metallic and plastic shallow-buried targets. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |