Removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2D DFT filtering
Radio-echo sounding (RES) can be used to understand ice-sheet processes, englacial flow structures and bed properties, making it one of the most popular tools in glaciological exploration. However, RES data are often subject to ‘strip noise’, caused by internal instrument noise and interference, and...
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ftimperialcol:oai:spiral.imperial.ac.uk:10044/1/67974 2023-05-15T13:29:13+02:00 Removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2D DFT filtering Wang, B Sun, B Jiaxin, W Greenbaum, J Jingxue, G Laura, L Xiangbin, C Young, D Blankenship, D Siegert, M Natural Environment Research Council (NERC) British Council (UK) 2019-02-16 http://hdl.handle.net/10044/1/67974 unknown Cambridge University Press (CUP) Annals of Glaciology 0260-3055 http://hdl.handle.net/10044/1/67974 NE/K004956/2 GEOG.RE2356 ICECAP-2 © The Author(s) 2019. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/ CC-BY 134 124 0401 Atmospheric Sciences 0404 Geophysics 0406 Physical Geography and Environmental Geoscience Meteorology & Atmospheric Sciences Journal Article 2019 ftimperialcol 2020-09-10T22:38:22Z Radio-echo sounding (RES) can be used to understand ice-sheet processes, englacial flow structures and bed properties, making it one of the most popular tools in glaciological exploration. However, RES data are often subject to ‘strip noise’, caused by internal instrument noise and interference, and/or external environmental interference, which can hamper measurementand interpretation. For example, strip noise can result in reduced power from the bed, affecting the quality of ice thickness measurements and the characterization of subglacial conditions. Here, we present a method for removing strip noise based on combined wavelet and 2D Fourier filtering. First, we implement discrete wavelet decomposition on RES data to obtain multi-scale wavelet components. Then, 2D DFT spectral analysis is performed on components containing the noise. In the Fourier domain, the 2D DFT spectrum of strip noise keeps its linear features and can be removed with a ‘targeted masking’ operation. Finally, inverse wavelet transforms are performed on all wavelet components, including strip-removed components, to restore the data with enhanced fidelity. Model tests and field-data processing demonstrate the method removes strip noise well and, incidentally, can remove the strong first reflector from the ice surface, thus drastically improving the general quality of radar data. Article in Journal/Newspaper Annals of Glaciology Ice Sheet Imperial College London: Spiral |
institution |
Open Polar |
collection |
Imperial College London: Spiral |
op_collection_id |
ftimperialcol |
language |
unknown |
topic |
0401 Atmospheric Sciences 0404 Geophysics 0406 Physical Geography and Environmental Geoscience Meteorology & Atmospheric Sciences |
spellingShingle |
0401 Atmospheric Sciences 0404 Geophysics 0406 Physical Geography and Environmental Geoscience Meteorology & Atmospheric Sciences Wang, B Sun, B Jiaxin, W Greenbaum, J Jingxue, G Laura, L Xiangbin, C Young, D Blankenship, D Siegert, M Removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2D DFT filtering |
topic_facet |
0401 Atmospheric Sciences 0404 Geophysics 0406 Physical Geography and Environmental Geoscience Meteorology & Atmospheric Sciences |
description |
Radio-echo sounding (RES) can be used to understand ice-sheet processes, englacial flow structures and bed properties, making it one of the most popular tools in glaciological exploration. However, RES data are often subject to ‘strip noise’, caused by internal instrument noise and interference, and/or external environmental interference, which can hamper measurementand interpretation. For example, strip noise can result in reduced power from the bed, affecting the quality of ice thickness measurements and the characterization of subglacial conditions. Here, we present a method for removing strip noise based on combined wavelet and 2D Fourier filtering. First, we implement discrete wavelet decomposition on RES data to obtain multi-scale wavelet components. Then, 2D DFT spectral analysis is performed on components containing the noise. In the Fourier domain, the 2D DFT spectrum of strip noise keeps its linear features and can be removed with a ‘targeted masking’ operation. Finally, inverse wavelet transforms are performed on all wavelet components, including strip-removed components, to restore the data with enhanced fidelity. Model tests and field-data processing demonstrate the method removes strip noise well and, incidentally, can remove the strong first reflector from the ice surface, thus drastically improving the general quality of radar data. |
author2 |
Natural Environment Research Council (NERC) British Council (UK) |
format |
Article in Journal/Newspaper |
author |
Wang, B Sun, B Jiaxin, W Greenbaum, J Jingxue, G Laura, L Xiangbin, C Young, D Blankenship, D Siegert, M |
author_facet |
Wang, B Sun, B Jiaxin, W Greenbaum, J Jingxue, G Laura, L Xiangbin, C Young, D Blankenship, D Siegert, M |
author_sort |
Wang, B |
title |
Removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2D DFT filtering |
title_short |
Removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2D DFT filtering |
title_full |
Removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2D DFT filtering |
title_fullStr |
Removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2D DFT filtering |
title_full_unstemmed |
Removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2D DFT filtering |
title_sort |
removal of ‘strip noise’ in airborne radio-echo sounding data using combined wavelet and 2d dft filtering |
publisher |
Cambridge University Press (CUP) |
publishDate |
2019 |
url |
http://hdl.handle.net/10044/1/67974 |
genre |
Annals of Glaciology Ice Sheet |
genre_facet |
Annals of Glaciology Ice Sheet |
op_source |
134 124 |
op_relation |
Annals of Glaciology 0260-3055 http://hdl.handle.net/10044/1/67974 NE/K004956/2 GEOG.RE2356 ICECAP-2 |
op_rights |
© The Author(s) 2019. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
_version_ |
1765999316625784832 |