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Revised Version Manuscript Received on 16 September, 2019. Kode Rajiv, Assoc. Professor in information Technology, GRIET Hyderabad Booba Basaveswara Rao, Computer Center, ANU-Guntur G Ramesh chandra, PhD from JNTUH from CSE Dept in the area of image processing. N V Ganapathi Raju, Department of I.T., at GRIET, Hyderabad Abstract: Noticing about the buried pipes is a important issue, In many regions of the world. In spite of the fact that several techniques are there. This literature is used to find out the underground pipes automatically that provides accuracy execution is underway. Which gave amazing results Achieved by the deep learning of the different discoveries found in this article offer a pipeline to detect anti-personnel pipes Adaptive Neural Networks ( applied to the Ground Penetrating Radar (GPR). The proposed algorithm is suitable to recognize if the scanning format has been received. The acquisition of GPR has a track of anti-personnel pipes. The validity of the said system is made on a real GPR receipt, although systematic training can be done to have relied upon data generated by achievements. Based on the results 95% of the accuracy of detection got achieved without testing acquisition of pipes.

Exploration of Pipelines from the use of GPR Data by Neural Network