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Image quality improvement for GPR acquisition using interpolation method
Intyas I.a, Suksmono A.B.a, Munir A.a
a Radio Telecommunication and Microwave Laboratory, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Indonesia
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 2016 IEEE.In this paper, the investigation of image quality improvement for ground penetrating radar (GPR) acquisition is proposed using interpolation method. A model of M16 rifle is used as the object of investigation and simulated using an open source gprMax software. The simulation to scan the object is performed in 2 scenarios; (i) the step of GPR antenna is set to 200mm in x-direction and 30mm in x-direction; (ii) the step of GPR antenna is set to 30mm both in x- and y-directions. Those scenarios are applied to produce the image acquisition in different resolution. The simulation results are processed using Matlab® into A-scan, B-scan, and C-scan images. Here, image interpolations using nearest neighbor, linear, and cubical convolution method are performed to C-scan images. Peak signal-to-noise ratio (PSNR) of interpolated images are then analyzed and compared each other. It shows that the linear interpolation method produces the highest PSNR among other image interpolations.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Different resolutions,Ground penetrating radar (GPR),Image interpolations,Image quality improvements,Interpolated images,Interpolation method,Linear Interpolation,Peak signal to noise ratio[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Detection image,ground penetrating radar (GPR),linear interpolation,peak signal-to-noise ratio (PSNR)[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/APCC.2016.7581486[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]