NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION
Ice-penetrating radar is an effective method for studying the subglacial bedrock and ice information within the Antarctic ice sheet. Because of the low conductivity of ice and the relatively uniform composition of ice sheets in the polar region, ice-penetrating radar can penetrate deeper part of the...
Published in: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
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ftcopernicus:oai:publications.copernicus.org:isprs-archives77348 2023-05-15T13:35:06+02:00 NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION Tang, X. Cheng, S. Guo, J. 2019-06-06 application/pdf https://doi.org/10.5194/isprs-archives-XLII-2-W13-1787-2019 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1787/2019/ eng eng doi:10.5194/isprs-archives-XLII-2-W13-1787-2019 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1787/2019/ eISSN: 2194-9034 Text 2019 ftcopernicus https://doi.org/10.5194/isprs-archives-XLII-2-W13-1787-2019 2019-12-24T09:49:04Z Ice-penetrating radar is an effective method for studying the subglacial bedrock and ice information within the Antarctic ice sheet. Because of the low conductivity of ice and the relatively uniform composition of ice sheets in the polar region, ice-penetrating radar can penetrate deeper part of the ice sheet and collect the following data. However, it is still necessary to suppress the noise from radar data to obtain more accurate and effective data. In this paper, the entirely non-recursive Variational Mode Decomposition (VMD) is applied to the data noise reduction of ice-penetrating radar data. VMD is a decomposition method of adaptive and quasi-orthogonal signals, which decomposes airborne radar data into multiple frequency-limited quasi-orthogonal Intrinsic Mode Functions (IMFs). The IMFs containing noise are then removed according to the information distribution in the IMFs component and the remaining IMFs are reconstructed. We implements the method to process the real ice-penetrating radar data, which effectively eliminates the interference noise in the data, improves the signal-to-noise ratio and characterizes the internal layer structure of ice. It is verified that the method can be applied to the noise reduction processing of polar ice-penetrating radar data successful, which provides a better basis for data interpretation. Finally, we present the internal structure within the ice sheet based on VMD denoised radar profile. Text Antarc* Antarctic Ice Sheet Copernicus Publications: E-Journals Antarctic The Antarctic The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 1787 1791 |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
Ice-penetrating radar is an effective method for studying the subglacial bedrock and ice information within the Antarctic ice sheet. Because of the low conductivity of ice and the relatively uniform composition of ice sheets in the polar region, ice-penetrating radar can penetrate deeper part of the ice sheet and collect the following data. However, it is still necessary to suppress the noise from radar data to obtain more accurate and effective data. In this paper, the entirely non-recursive Variational Mode Decomposition (VMD) is applied to the data noise reduction of ice-penetrating radar data. VMD is a decomposition method of adaptive and quasi-orthogonal signals, which decomposes airborne radar data into multiple frequency-limited quasi-orthogonal Intrinsic Mode Functions (IMFs). The IMFs containing noise are then removed according to the information distribution in the IMFs component and the remaining IMFs are reconstructed. We implements the method to process the real ice-penetrating radar data, which effectively eliminates the interference noise in the data, improves the signal-to-noise ratio and characterizes the internal layer structure of ice. It is verified that the method can be applied to the noise reduction processing of polar ice-penetrating radar data successful, which provides a better basis for data interpretation. Finally, we present the internal structure within the ice sheet based on VMD denoised radar profile. |
format |
Text |
author |
Tang, X. Cheng, S. Guo, J. |
spellingShingle |
Tang, X. Cheng, S. Guo, J. NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION |
author_facet |
Tang, X. Cheng, S. Guo, J. |
author_sort |
Tang, X. |
title |
NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION |
title_short |
NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION |
title_full |
NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION |
title_fullStr |
NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION |
title_full_unstemmed |
NOISE REDUCTION AND INTERPRETATION OF ICE-PENETRATING RADAR DATA IN ANTARCTIC ICE SHEET BASED ON VARIATIONAL MODE DECOMPOSITION |
title_sort |
noise reduction and interpretation of ice-penetrating radar data in antarctic ice sheet based on variational mode decomposition |
publishDate |
2019 |
url |
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1787-2019 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1787/2019/ |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Ice Sheet |
genre_facet |
Antarc* Antarctic Ice Sheet |
op_source |
eISSN: 2194-9034 |
op_relation |
doi:10.5194/isprs-archives-XLII-2-W13-1787-2019 https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W13/1787/2019/ |
op_doi |
https://doi.org/10.5194/isprs-archives-XLII-2-W13-1787-2019 |
container_title |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
container_volume |
XLII-2/W13 |
container_start_page |
1787 |
op_container_end_page |
1791 |
_version_ |
1766060874306420736 |