Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets
Conventional processing of ice-sounder data produces 2-D images of the ice sheet and bed, where the two dimensions are along-track and depth, while the across-track direction is fixed to nadir. The 2-D images contain information about the topography and radar reflectivity of the ice sheet’s surface,...
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ftdlr:oai:elib.dlr.de:111950 2023-05-15T15:53:44+02:00 Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets Heister, Anton Scheiber, Rolf 2017-01-30 application/pdf https://elib.dlr.de/111950/ https://elib.dlr.de/111950/1/EGU2017-18952.pdf en eng https://elib.dlr.de/111950/1/EGU2017-18952.pdf Heister, Anton und Scheiber, Rolf (2017) Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets. European Geosciences Union (EGU), 2017-04-24 - 2017-04-26, Vienna, Austria. SAR-Technologie Konferenzbeitrag NonPeerReviewed 2017 ftdlr 2019-08-04T22:59:29Z Conventional processing of ice-sounder data produces 2-D images of the ice sheet and bed, where the two dimensions are along-track and depth, while the across-track direction is fixed to nadir. The 2-D images contain information about the topography and radar reflectivity of the ice sheet’s surface, bed, and internal layers in the along-track direction. Having multiple antenna phase centers in the across-track direction enables the production of 3-D images of the ice sheet and bed. Compared to conventional 2-D images, these contain additional information about the surface and bed topography, and orientation of the internal layers over a swath in the across-track direction. We apply a 3-D SAR tomographic ice-sounding method based on sparse signal reconstruction to the data collected by Center for Remote Sensing of Ice Sheets (CReSIS) in 2008 in Greenland using their multichannel coherent radar depth sounder (MCoRDS). The MCoRDS data have 16 effective phase centers which allows us to better understand the performance of the method. Lastly we offer sparsity improvement by including wavelet dictionaries into the reconstruction.The results show improved scene feature resolvability in across-track direction compared to MVDR beamformer. Conference Object Center for Remote Sensing of Ice Sheets (CReSIS) Greenland Ice Sheet German Aerospace Center: elib - DLR electronic library Greenland |
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Open Polar |
collection |
German Aerospace Center: elib - DLR electronic library |
op_collection_id |
ftdlr |
language |
English |
topic |
SAR-Technologie |
spellingShingle |
SAR-Technologie Heister, Anton Scheiber, Rolf Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
topic_facet |
SAR-Technologie |
description |
Conventional processing of ice-sounder data produces 2-D images of the ice sheet and bed, where the two dimensions are along-track and depth, while the across-track direction is fixed to nadir. The 2-D images contain information about the topography and radar reflectivity of the ice sheet’s surface, bed, and internal layers in the along-track direction. Having multiple antenna phase centers in the across-track direction enables the production of 3-D images of the ice sheet and bed. Compared to conventional 2-D images, these contain additional information about the surface and bed topography, and orientation of the internal layers over a swath in the across-track direction. We apply a 3-D SAR tomographic ice-sounding method based on sparse signal reconstruction to the data collected by Center for Remote Sensing of Ice Sheets (CReSIS) in 2008 in Greenland using their multichannel coherent radar depth sounder (MCoRDS). The MCoRDS data have 16 effective phase centers which allows us to better understand the performance of the method. Lastly we offer sparsity improvement by including wavelet dictionaries into the reconstruction.The results show improved scene feature resolvability in across-track direction compared to MVDR beamformer. |
format |
Conference Object |
author |
Heister, Anton Scheiber, Rolf |
author_facet |
Heister, Anton Scheiber, Rolf |
author_sort |
Heister, Anton |
title |
Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_short |
Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_full |
Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_fullStr |
Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_full_unstemmed |
Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets |
title_sort |
demonstration of sparse signal reconstruction for radar imaging of ice sheets |
publishDate |
2017 |
url |
https://elib.dlr.de/111950/ https://elib.dlr.de/111950/1/EGU2017-18952.pdf |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Center for Remote Sensing of Ice Sheets (CReSIS) Greenland Ice Sheet |
genre_facet |
Center for Remote Sensing of Ice Sheets (CReSIS) Greenland Ice Sheet |
op_relation |
https://elib.dlr.de/111950/1/EGU2017-18952.pdf Heister, Anton und Scheiber, Rolf (2017) Demonstration of Sparse Signal Reconstruction for Radar Imaging of Ice Sheets. European Geosciences Union (EGU), 2017-04-24 - 2017-04-26, Vienna, Austria. |
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1766388930037415936 |