GPR Data Visualization Enhancement by Deconvolution and Some Image Attributes

KADIOĞLU S.

41st International Conference on Telecommunications and Signal Processing (TSP), Athens, Yunanistan, 4 - 06 Temmuz 2018, ss.158-161 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/tsp.2018.8441427
  • Basıldığı Şehir: Athens
  • Basıldığı Ülke: Yunanistan
  • Sayfa Sayıları: ss.158-161
  • Anahtar Kelimeler: GPR, predictive deconvolution, source wavelet, GPR visualization attributes, Sapinuwa, Agilonu-Tasdosem, 3D GPR visualization, GROUND-PENETRATING RADAR, ANCIENT-CITY, REMAINS
  • Ankara Üniversitesi Adresli: Evet

Özet

Deconvolution is a filtering process which removes a wavelet effect from the recorded trace by reversing the process of convolution. Predictive deconvolution is an attempt to attenuate multiples which involve the surface or near-surface reflectors. The GPR data visualization is based on selected amplitude-colour scale, opaque, view angle and selected data volume range which are called 2D/3D GPR visualization attributes to indicate discontinuities, infrastructures and buried remains. The aim of this study is to indicate a predictive deconvolution processing for the ground penetrating radar (GPR) data to remove vertical noise including source wavelet multiples and therefore reflected wave multiples. The second aim is to show how GPR data imaging attributes visualize buried remains in very complex data.