Shallow buried object detection using GPR
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Ground Penetrating Radar received considerable attention in the use of shallow buried object detection. Differing from the traditional sensor systems such as electro magnetic induction based metal detector sensor, GPR can be used for objects with any property and any shape for a wide range of desired sensitivity and specificity. In this thesis, based on a simplified but robust measurement, model a three-stage algorithm is proposed for the real-time detection and localization of the shallow buried objects by using GPR measurements. Since all three stages of the proposed approach have environment adaptive features, the detection performance remains successful in a wide range of scenarios that can be encountered in applications.