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http://hdl.handle.net/2080/3639
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DC Field | Value | Language |
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dc.contributor.author | Tarai, Sangeeta | - |
dc.contributor.author | Panda, Swarna Laxmi | - |
dc.contributor.author | Santosh Kumar, Buddepu | - |
dc.contributor.author | Sahoo, Ajit Kumar | - |
dc.contributor.author | Maiti, Subrata | - |
dc.date.accessioned | 2022-03-21T12:29:46Z | - |
dc.date.available | 2022-03-21T12:29:46Z | - |
dc.date.issued | 2021-12 | - |
dc.identifier.citation | 2021 IEEE MTT-S International Microwave and RF Conference (IMARC), Kapur, India, 17-19 December 2021 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3639 | - |
dc.description | Copyright of this paper is with proceedings publisher | en_US |
dc.description.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. | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Clutter reduction | en_US |
dc.subject | GPR | en_US |
dc.subject | migration | en_US |
dc.subject | velocity estimation | en_US |
dc.title | A Practical GPR Imaging Scheme for Buried Objects | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2021_IMARC_STarai_APractical.pdf | 565.67 kB | Adobe PDF | View/Open |
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