GPR Objects Hyperbola Region Feature Extraction

The shape and feature extraction in Ground Penetrating Radar (GPR) data is the most addressed application in present underground object identification technique. The problem of automatically detecting the shape and feature in GPR data is in analysing and fitting the hyperbola features from GPR data objects. To address these, we propose a hyperbole fitting method to extract the shape and features of synthetic and real GPR data objects. The proposed method is successfully implemented on different GPR data sets and comparatively proved better method for GPR data objects feature extraction. Our proposed method can be used in detecting the underground pipe identification technique.