Design of GPR for buried object Detection using Ultra Wide Band (UWB) Antenna
P.Upender1, P.A.Harsha Vardhini2
1P.Upender, Asst.Professor, Department of ECE, Vignan Institute of Technology and Science, Deshmukhi, Telangana, India.
2Dr.P.A.Harsha Vardhini, Professor, Department of ECE, Vignan Institute of Technology and Science, Deshmukhi, Telangana, India.
Manuscript received on September 13, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 5419-5423 | Volume-9 Issue-1, October 2019 | Retrieval Number: A3079109119/2019©BEIESP | DOI: 10.35940/ijeat.A3079.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals the combination of image analysis and EM approach to predict the shape of the cavity detection for satellite remote sensing at 1GHz to 3GHz. The reconstruction of the shape is based on the mean image strength with measured reflectivity at any depth and then with image processing techniques deconvolution. For this purpose, a Vector Network Analyzer has been used along with a Ultra Wide Band antenna, using a stand it is mounted on the sand pit and when operated it moves over it.For a shallow buried object detection system based on image processing and electromagnetic theory, an algorithm has been proposed. The buried utility form is calculated for any depth that is important for the returned echo. Using image analysis and microwave remote sensing techniques to identify the shape of the various shallow buried objects, this approach will be quite helpful in developing an automatic satellite data based information system.
Keywords: Cavity detection, image analysis, Vector Network Analyzer, Ultra Wide Band antenna, remote sensing.