An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data
During the past decades, radar sounder (RS) instruments have been effectively used to detect subglacial lakes (SLs). SLs appear as flat, smooth, and bright reflectors in RS radargrams. The visual interpretation has been the main approach to SL detection in radargrams. However, this approach is subje...
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Online Access: | http://hdl.handle.net/11572/250909 https://doi.org/10.1109/TGRS.2018.2882911 |
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ftutrentoiris:oai:iris.unitn.it:11572/250909 2024-02-11T09:57:06+01:00 An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data Ilisei A. -M. Khodadadzadeh M. Ferro A. Bruzzone L. Ilisei, A. -M. Khodadadzadeh, M. Ferro, A. Bruzzone, L. 2019 http://hdl.handle.net/11572/250909 https://doi.org/10.1109/TGRS.2018.2882911 eng eng info:eu-repo/semantics/altIdentifier/wos/WOS:000470019800014 volume:57 issue:6 firstpage:3252 lastpage:3270 numberofpages:19 journal:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING http://hdl.handle.net/11572/250909 doi:10.1109/TGRS.2018.2882911 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85059253282 Automatic detection ice sheet radar sounder (RS) remote sensing subglacial lakes (SLs) info:eu-repo/semantics/article 2019 ftutrentoiris https://doi.org/10.1109/TGRS.2018.2882911 2024-01-16T23:11:51Z During the past decades, radar sounder (RS) instruments have been effectively used to detect subglacial lakes (SLs). SLs appear as flat, smooth, and bright reflectors in RS radargrams. The visual interpretation has been the main approach to SL detection in radargrams. However, this approach is subjective and inappropriate for processing large amounts of radargrams. While the analysis of RS data for understanding the subglacial hydrology has recently received increased attention, the literature on the development of automatic methods specifically designed for SL detection is still limited. In order to fill this gap, in this paper, we propose a novel automatic technique for SL detection. The technique is made up of two steps: 1) feature extraction and 2) automatic detection. In the first step, we define and extract three families of features for discriminating between the lake and nonlake radar reflections. The features model locally the basal topography, the shape of the basal reflected waveforms, and the statistical properties of the basal signal. In the second step, we provide the features as input to a support vector machine classifier to perform the automatic SL detection. The proposed technique has been applied to radargrams acquired over two large regions in East Antarctica and Siple Coast. The obtained results, which are validated both quantitatively and qualitatively, confirm the robustness of the features and their capabilities to effectively characterize SLs. Moreover, they prove the potentiality of the method to process large amounts of radargrams and update the current SL inventory. Article in Journal/Newspaper Antarc* Antarctica East Antarctica Ice Sheet Università degli Studi di Trento: CINECA IRIS East Antarctica Siple ENVELOPE(-83.917,-83.917,-75.917,-75.917) Siple Coast ENVELOPE(-155.000,-155.000,-82.000,-82.000) IEEE Transactions on Geoscience and Remote Sensing 57 6 3252 3270 |
institution |
Open Polar |
collection |
Università degli Studi di Trento: CINECA IRIS |
op_collection_id |
ftutrentoiris |
language |
English |
topic |
Automatic detection ice sheet radar sounder (RS) remote sensing subglacial lakes (SLs) |
spellingShingle |
Automatic detection ice sheet radar sounder (RS) remote sensing subglacial lakes (SLs) Ilisei A. -M. Khodadadzadeh M. Ferro A. Bruzzone L. An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data |
topic_facet |
Automatic detection ice sheet radar sounder (RS) remote sensing subglacial lakes (SLs) |
description |
During the past decades, radar sounder (RS) instruments have been effectively used to detect subglacial lakes (SLs). SLs appear as flat, smooth, and bright reflectors in RS radargrams. The visual interpretation has been the main approach to SL detection in radargrams. However, this approach is subjective and inappropriate for processing large amounts of radargrams. While the analysis of RS data for understanding the subglacial hydrology has recently received increased attention, the literature on the development of automatic methods specifically designed for SL detection is still limited. In order to fill this gap, in this paper, we propose a novel automatic technique for SL detection. The technique is made up of two steps: 1) feature extraction and 2) automatic detection. In the first step, we define and extract three families of features for discriminating between the lake and nonlake radar reflections. The features model locally the basal topography, the shape of the basal reflected waveforms, and the statistical properties of the basal signal. In the second step, we provide the features as input to a support vector machine classifier to perform the automatic SL detection. The proposed technique has been applied to radargrams acquired over two large regions in East Antarctica and Siple Coast. The obtained results, which are validated both quantitatively and qualitatively, confirm the robustness of the features and their capabilities to effectively characterize SLs. Moreover, they prove the potentiality of the method to process large amounts of radargrams and update the current SL inventory. |
author2 |
Ilisei, A. -M. Khodadadzadeh, M. Ferro, A. Bruzzone, L. |
format |
Article in Journal/Newspaper |
author |
Ilisei A. -M. Khodadadzadeh M. Ferro A. Bruzzone L. |
author_facet |
Ilisei A. -M. Khodadadzadeh M. Ferro A. Bruzzone L. |
author_sort |
Ilisei A. -M. |
title |
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data |
title_short |
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data |
title_full |
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data |
title_fullStr |
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data |
title_full_unstemmed |
An Automatic Method for Subglacial Lake Detection in Ice Sheet Radar Sounder Data |
title_sort |
automatic method for subglacial lake detection in ice sheet radar sounder data |
publishDate |
2019 |
url |
http://hdl.handle.net/11572/250909 https://doi.org/10.1109/TGRS.2018.2882911 |
long_lat |
ENVELOPE(-83.917,-83.917,-75.917,-75.917) ENVELOPE(-155.000,-155.000,-82.000,-82.000) |
geographic |
East Antarctica Siple Siple Coast |
geographic_facet |
East Antarctica Siple Siple Coast |
genre |
Antarc* Antarctica East Antarctica Ice Sheet |
genre_facet |
Antarc* Antarctica East Antarctica Ice Sheet |
op_relation |
info:eu-repo/semantics/altIdentifier/wos/WOS:000470019800014 volume:57 issue:6 firstpage:3252 lastpage:3270 numberofpages:19 journal:IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING http://hdl.handle.net/11572/250909 doi:10.1109/TGRS.2018.2882911 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85059253282 |
op_doi |
https://doi.org/10.1109/TGRS.2018.2882911 |
container_title |
IEEE Transactions on Geoscience and Remote Sensing |
container_volume |
57 |
container_issue |
6 |
container_start_page |
3252 |
op_container_end_page |
3270 |
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