Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/4648
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTarai, Sangeeta-
dc.contributor.authorPanda, Swarna Laxmi-
dc.contributor.authorKumar, Buddepu Santosh-
dc.contributor.authorSahoo, Ajit Kumar-
dc.contributor.authorMaiti, Subrata-
dc.date.accessioned2024-08-13T12:34:54Z-
dc.date.available2024-08-13T12:34:54Z-
dc.date.issued2024-07-
dc.identifier.citationIEEE SPace, Aerospace and defenCE (SPACE), Bangalore, India, 22-23 July 2024en_US
dc.identifier.urihttp://hdl.handle.net/2080/4648-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractGround Penetrating Radar (GPR) is crucial for non-destructive subsurface investigation. However, it encounters many challenges like signal interference, clutter, complex media characteristics, etc. Advanced signal processing algorithms are essential to overcome these challenges, ensuring accurate identification and differentiation of subsurface targets. In addition to addressing these needs, this paper presents the development of robust GPR software using the MATLAB App Designer tool. The software incorporates data handling, clutter reduction, velocity estimation, and imaging. It also includes classification methodologies for target discernment. This comprehensive approach ensures accurate and reliable results, enhancing the utility of GPR technology for diverse applications.en_US
dc.subjectGPR softwareen_US
dc.subjectMATLAB app designeren_US
dc.subjectRPCAen_US
dc.subjectmigratien_US
dc.titleDevelopment of Intelligence Software for GPR Investigation of Buried Objecten_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2024_SPACE_STarai_Development.pdf1.33 MBAdobe PDFView/Open    Request a copy


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