| Autor: |
Fahad Alyafei, Chaouki Kasmi, Eder Fabian Ruiz, Daniel Chaparro-Arce, John J. Pantoja, Felix Vega |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
2020 IEEE International Conference on Computational Electromagnetics (ICCEM). |
| DOI: |
10.1109/iccem47450.2020.9219520 |
| Popis: |
In this paper, a clutter removal technique for radargrams obtained with a ground penetration radar (GPR) is presented. The technique, based in the singularity expansion method (SEM), allows to select the poles of the recorded signals that correspond to clutter. The technique was tested using a pyramidal object made of a highly reflective metallic material. An X-Y positioner that allows the GPR to perform a continuous scan was used. A direct subtraction of the previously selected clutter poles to each frame of the SAR image is performed in order to keep only the desired poles for analysis. Finally, the reconstructed radargram obtained applying the proposed technique is compared with the radargram obtained using a commonly used background-removal technique. The obtained results show that the proposed technique can be used to straightforwardly remove undesired signals measured with GPRs. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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