Shahrabi, M.A. and Hashemi, H., 2021. Analysis of GPR hyperbola targets using image processing techniques. Journal of Seismic Exploration, 30: 561-575. The Canny edge detection method is an image processing technique that can be used to distinguish the edges of an image. This edge detection operator is mostly used for the analysis of object boundaries of images such as edge-based face recognition, edge-based obstacle detection, edge-based target recognition, image compression, etc. Ground Penetrating Radar (GPR) is a non-destructive geophysical method that is most often applied to detect underground features such as subsurface facilities, geological structures, changes in material properties, and voids and cracks. Small underground targets such as pipes and cables are expressed into radargrams as hyperbolic-shaped signatures depends on the orientation of the acquisition direction concerning the position of the object. Taking into account the large quantity of acquired GPR data during a field operation, the manual detection and localization of hyperbolas in radargrams can be time consuming and impracticable in large-scale surveys. In this work, the applicability of the Canny edge detection operator is investigated in the GPR processing procedure. In particular, Canny edge detection is used as a processing step for the detection of hyperbolic reflections in GPR images. The open-source finite-difference time-domain (FDTD) simulator GPRMax was used to generate synthetic radargrams.