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I try to present a new application of modern filtering techniques to ground-penetrating radar (GPR) data processing for coherent noise attenuation. I create the synthetic data example to simulate problems such as system ringing and surface scattering, which are common in real cases. I also try our s...

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Main Author: SAMUDRA DJATMIKO (NIM 102 03 024)Pembimbing : Satria Bijaksana, Ph.D, BADAI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/15114
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:15114
spelling id-itb.:151142017-09-27T11:45:09Z#TITLE_ALTERNATIVE# SAMUDRA DJATMIKO (NIM 102 03 024)Pembimbing : Satria Bijaksana, Ph.D, BADAI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/15114 I try to present a new application of modern filtering techniques to ground-penetrating radar (GPR) data processing for coherent noise attenuation. I create the synthetic data example to simulate problems such as system ringing and surface scattering, which are common in real cases. I also try our simulation into real data, so that we can analyzed the result of this filter. The result confirm that Discrete Wavelet Transform (DWT)-1D is effective in removing system ringing noise from GPR images but for surface scattering noise our program need a little bit modification so that this program can analyzed the noise. Meanwhile, the Discrete Wavelet Transform (DWT)-2D filter gives unsatisfied result because this filter make radargram image become blurring in some part of the radargram. <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description I try to present a new application of modern filtering techniques to ground-penetrating radar (GPR) data processing for coherent noise attenuation. I create the synthetic data example to simulate problems such as system ringing and surface scattering, which are common in real cases. I also try our simulation into real data, so that we can analyzed the result of this filter. The result confirm that Discrete Wavelet Transform (DWT)-1D is effective in removing system ringing noise from GPR images but for surface scattering noise our program need a little bit modification so that this program can analyzed the noise. Meanwhile, the Discrete Wavelet Transform (DWT)-2D filter gives unsatisfied result because this filter make radargram image become blurring in some part of the radargram. <br />
format Final Project
author SAMUDRA DJATMIKO (NIM 102 03 024)Pembimbing : Satria Bijaksana, Ph.D, BADAI
spellingShingle SAMUDRA DJATMIKO (NIM 102 03 024)Pembimbing : Satria Bijaksana, Ph.D, BADAI
#TITLE_ALTERNATIVE#
author_facet SAMUDRA DJATMIKO (NIM 102 03 024)Pembimbing : Satria Bijaksana, Ph.D, BADAI
author_sort SAMUDRA DJATMIKO (NIM 102 03 024)Pembimbing : Satria Bijaksana, Ph.D, BADAI
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/15114
_version_ 1820737396699824128

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