Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3639
Title: A Practical GPR Imaging Scheme for Buried Objects
Authors: Tarai, Sangeeta
Panda, Swarna Laxmi
Santosh Kumar, Buddepu
Sahoo, Ajit Kumar
Maiti, Subrata
Keywords: Clutter reduction
GPR
migration
velocity estimation
Issue Date: Dec-2021
Publisher: IEEE
Citation: 2021 IEEE MTT-S International Microwave and RF Conference (IMARC), Kapur, India, 17-19 December 2021
Abstract: Ground penetrating radar (GPR) is one of the most effective non-destructive method for detection and identification of buried objects. The key challenges for the imaging of the buried objects are the antenna cross talk and the presence of ground bounce. The GPR imaging is more difficult in complex ground scenario which is unpredictable. For imaging of subsurface objects, an efficient and reliable signal processing scheme is essential. Here we have implemented a complete imaging scheme for buried object detection. The important steps such as clutter removal, velocity analysis, migration techniques are implemented for imaging buried object. The effectiveness of the scheme is verified by processing synthetic data as well as laboratory measurements. The proposed approach can be effective for buried object detection.
Description: Copyright of this paper is with proceedings publisher
URI: http://hdl.handle.net/2080/3639
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2021_IMARC_STarai_APractical.pdf565.67 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.