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http://hdl.handle.net/2080/4164| Title: | U-Net With Dilated Convolution for Improved Clutter Removal in GPR Images |
| Authors: | Panda, Swarna Laxmi Maiti, Subrata Sahoo, Upendra Kumar |
| Keywords: | GPR B-Scan U-Net dilated convolution |
| Issue Date: | Dec-2023 |
| Citation: | IEEE Microwave, Antennas, and Propagation Conference (MAPCON), Ahmedabad, India, 10-14 December 2023 |
| 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 |
| Description: | Copyright belongs to proceeding publisher |
| URI: | http://hdl.handle.net/2080/4164 |
| Appears in Collections: | Conference Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 2023_MPCON_SLPanda_U-Net.pdf | 692.25 kB | Adobe PDF | View/Open |
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