First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets
Radar ice sounders allow to measure the topography and radar reflectivity of ice sheets’ surface and bed. Strong surface returns mask weak bed returns received simultaneously from different angular positions. We develop a non- linear sparse reconstruction method for bed/surface returns’ separation t...
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ftdlr:oai:elib.dlr.de:103752 2024-05-19T07:28:48+00:00 First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets Heister, Anton Scheiber, Rolf 2016 https://elib.dlr.de/103752/ unknown Heister, Anton und Scheiber, Rolf (2016) First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets. European Conference on Synthetic Aperture Radar (EUSAR), 2016-06-06 - 2016-06-09, Hamburg, Germany. Institut für Hochfrequenztechnik und Radarsysteme Konferenzbeitrag PeerReviewed 2016 ftdlr 2024-04-25T00:36:21Z Radar ice sounders allow to measure the topography and radar reflectivity of ice sheets’ surface and bed. Strong surface returns mask weak bed returns received simultaneously from different angular positions. We develop a non- linear sparse reconstruction method for bed/surface returns’ separation that uses multi-channel data, and demonstrate its performance using a multi-channel dataset acquired by ESA’s Polarimetric Airborne Radar Ice Sounder during 2011 Antarctica campaign. Conference Object Antarc* Antarctica German Aerospace Center: elib - DLR electronic library |
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Open Polar |
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German Aerospace Center: elib - DLR electronic library |
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Institut für Hochfrequenztechnik und Radarsysteme |
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Institut für Hochfrequenztechnik und Radarsysteme Heister, Anton Scheiber, Rolf First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
topic_facet |
Institut für Hochfrequenztechnik und Radarsysteme |
description |
Radar ice sounders allow to measure the topography and radar reflectivity of ice sheets’ surface and bed. Strong surface returns mask weak bed returns received simultaneously from different angular positions. We develop a non- linear sparse reconstruction method for bed/surface returns’ separation that uses multi-channel data, and demonstrate its performance using a multi-channel dataset acquired by ESA’s Polarimetric Airborne Radar Ice Sounder during 2011 Antarctica campaign. |
format |
Conference Object |
author |
Heister, Anton Scheiber, Rolf |
author_facet |
Heister, Anton Scheiber, Rolf |
author_sort |
Heister, Anton |
title |
First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_short |
First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_full |
First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_fullStr |
First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_full_unstemmed |
First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_sort |
first analysis of sparse signal reconstruction for radar imaging of ice sheets |
publishDate |
2016 |
url |
https://elib.dlr.de/103752/ |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
Heister, Anton und Scheiber, Rolf (2016) First Analysis of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets. European Conference on Synthetic Aperture Radar (EUSAR), 2016-06-06 - 2016-06-09, Hamburg, Germany. |
_version_ |
1799475986745524224 |