Ground Penetrating Radar Data Analysis with Nonlinear Regression on Artificial Neural Network
Yazarlar (2)
Dr. Öğr. Üyesi Reyhan YURT Yalova Üniversitesi, Türkiye
Doç. Dr. Hamid Torpi Yıldız Teknik Üniversitesi, Türkiye
| Bildiri Türü | Tebliğ/Bildiri | Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Web of Science Kapsamındaki Kongre/Sempozyum | ||
| DOI Numarası | 10.1109/HORA49412.2020.9152599 | ||
| Kongre Adı | 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA) | ||
| Kongre Tarihi | 26-06-2020 / 28-06-2020 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | Ankara, Turkey |
| Bildiri Linki | https://ieeexplore.ieee.org/document/9152599/ | ||
| UAK Araştırma Alanları |
Elektromanyetik, Mikrodalga ve Anten Teknolojileri
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| Özet |
| Herein, a Ground Penetrating Radar (GPR) problem is defined and modelled with CST 3-D full-wave electromagnetic (EM) simulation environment. The target which has various radius is placed at different depth of soil, then reflected normalized power is obtained by using C-Band conventional horn antenna for determined points on the aperture with the help of time domain solver. Also, without target simulations are applied for the same points and background subtraction algorithm is used to eliminate soil reflection measures and other effects like noise, ground anomalies. After that, nonlinear regression function is used to obtain hyperbola for all 1-D time signals in other words A-scan data, so that one normalized power amplitude of value as an output is received. With these outputs, different Artificial Neural Networks (ANN) are worked to predict approximate backscattering normalized power amplitudes from the … |
| Anahtar Kelimeler |
| artificial neural network | buried object detection | ground penetrating radar | horn antenna | nonlinear regression |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 1 |