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http://hdl.handle.net/2080/4164
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DC Field | Value | Language |
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dc.contributor.author | Panda, Swarna Laxmi | - |
dc.contributor.author | Maiti, Subrata | - |
dc.contributor.author | Sahoo, Upendra Kumar | - |
dc.date.accessioned | 2023-12-27T04:52:55Z | - |
dc.date.available | 2023-12-27T04:52:55Z | - |
dc.date.issued | 2023-12 | - |
dc.identifier.citation | IEEE Microwave, Antennas, and Propagation Conference (MAPCON), Ahmedabad, India, 10-14 December 2023 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/4164 | - |
dc.description | Copyright belongs to proceeding publisher | en_US |
dc.description.abstract | The clutters are inherent in ground penetrating radar (GPR) investigations which severely affects the performance of subsurface target detection. Therefore, removal of clutter is an essential preprocessing step in GPR survey. Several approaches are existing in literature for this purpose. However, it is quite challenging to remove the clutters for a rough ground surface using conventional methods. In this paper, a dilated convolution based U-Net architecture is proposed to improve the clutter removal performance of GPR B-scan images. The effectiveness of proposed approach over standard U-Net is validated on synthetic as well as laboratory measured data through qualitative and quantitative evaluation | en_US |
dc.subject | GPR | en_US |
dc.subject | B-Scan U-Net | en_US |
dc.subject | dilated convolution | en_US |
dc.title | U-Net With Dilated Convolution for Improved Clutter Removal in GPR Images | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
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2023_MPCON_SLPanda_U-Net.pdf | 692.25 kB | Adobe PDF | View/Open Request a copy |
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