Uses of Green's function for enhancing the image resolution of Ground Penetrating Radar (GPR) data

Abstract

Ground Penetrating Radar (GPR) data plays a vital role in the interpretation of shallow geological features. GPR produces a high-resolution image that is capable of capturing the subtle changes in the sub-surface geology. The work was conducted in the Baliapur region of Dhanbad district of Jharkhand state of India. The area is a part of the Chhota Nagpur plateau with a granitic gneiss complex. Baliapur area consists of multiple dykes formed mainly by igneous rocks and exposes to the surface. The geological ages of the dykes are from the Lower Jurassic to the Cretaceous-Eocene age. The knowledge on the evolvement of these dykes is highly significant for controlling the geology of the famous Damodar River Valley basin. The conducted research work has represented the detail of the internal structure of one such dyke in the area based on the high-resolution image of GPR data. The enhancement of image resolution was initiated based on the migration process such as FK and Kirchhoff after all necessary initial processing sequences of GPR data. However, the migration process has shown certain limitations to capture the internal structure of the igneous dyke. Because of such limitations, the Green's Function was introduced during the processing of GPR data to enhance image resolution through wave equation solution. The study shows the prominent features of the internal structure of the dyke after the introduction of Green's Function.