Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4164
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dc.contributor.authorPanda, Swarna Laxmi-
dc.contributor.authorMaiti, Subrata-
dc.contributor.authorSahoo, Upendra Kumar-
dc.date.accessioned2023-12-27T04:52:55Z-
dc.date.available2023-12-27T04:52:55Z-
dc.date.issued2023-12-
dc.identifier.citationIEEE Microwave, Antennas, and Propagation Conference (MAPCON), Ahmedabad, India, 10-14 December 2023en_US
dc.identifier.urihttp://hdl.handle.net/2080/4164-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractThe 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 evaluationen_US
dc.subjectGPRen_US
dc.subjectB-Scan U-Neten_US
dc.subjectdilated convolutionen_US
dc.titleU-Net With Dilated Convolution for Improved Clutter Removal in GPR Imagesen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

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