Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region
SAR Polarimetry has become a valuable tool in spaceborne SAR based sea ice analysis. The two major objectives in SAR based remote sensing of sea ice is on the one hand to have a large coverage of the imaged ground area, and on the other hand to obtain a radar response that carries as much informatio...
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Online Access: | https://elib.dlr.de/118172/ https://elib.dlr.de/118172/1/IGARSS_SeaIce_2018_23042018.pdf https://doi.org/10.1109/IGARSS.2018.8517653 |
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ftdlr:oai:elib.dlr.de:118172 2024-05-19T07:32:20+00:00 Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region Singha, Suman 2018-07-26 application/pdf https://elib.dlr.de/118172/ https://elib.dlr.de/118172/1/IGARSS_SeaIce_2018_23042018.pdf https://doi.org/10.1109/IGARSS.2018.8517653 en eng IEEE https://elib.dlr.de/118172/1/IGARSS_SeaIce_2018_23042018.pdf Singha, Suman (2018) Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region. In: 2018 International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 7113-7116. IEEE. IGARSS 2018, 2018-07-23 - 2018-07-27, Valencia, Spain. doi:10.1109/IGARSS.2018.8517653 <https://doi.org/10.1109/IGARSS.2018.8517653>. SAR-Signalverarbeitung Konferenzbeitrag PeerReviewed 2018 ftdlr https://doi.org/10.1109/IGARSS.2018.8517653 2024-04-25T00:44:08Z SAR Polarimetry has become a valuable tool in spaceborne SAR based sea ice analysis. The two major objectives in SAR based remote sensing of sea ice is on the one hand to have a large coverage of the imaged ground area, and on the other hand to obtain a radar response that carries as much information as possible. Whereas single-polarimetric acquisitions of existing sensors offer a wide coverage on the ground, dual polarimetric, or even better fully polarimetric data offer a higher information content which allows for a more reliable automated sea ice analysis. In order to reconcile the advantages of fully polarimetric acquisitions with the higher ground coverage of acquisitions with fewer polarimetric channels, compact polarimetric acquisitions offer a trade-off between the mentioned objectives. With the advent of the RISAT-1 satellite platform, we are able to explore the potential of compact polarimteric acquisitions for sea ice analysis and classification in operational environment. Our algorithmic approach for an automated sea ice classification consists of two steps. In the first step, we perform a feature extraction procedure. The resulting feature vectors are then ingested into a trained neural network classifier to arrive at a pixelwise supervised classification. We present our results on datasets acquired over both Arctic and Antarctic sea ice. Conference Object Antarc* Antarctic Arctic Arctic Sea ice German Aerospace Center: elib - DLR electronic library IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 7113 7116 |
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German Aerospace Center: elib - DLR electronic library |
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English |
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SAR-Signalverarbeitung |
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SAR-Signalverarbeitung Singha, Suman Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region |
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SAR-Signalverarbeitung |
description |
SAR Polarimetry has become a valuable tool in spaceborne SAR based sea ice analysis. The two major objectives in SAR based remote sensing of sea ice is on the one hand to have a large coverage of the imaged ground area, and on the other hand to obtain a radar response that carries as much information as possible. Whereas single-polarimetric acquisitions of existing sensors offer a wide coverage on the ground, dual polarimetric, or even better fully polarimetric data offer a higher information content which allows for a more reliable automated sea ice analysis. In order to reconcile the advantages of fully polarimetric acquisitions with the higher ground coverage of acquisitions with fewer polarimetric channels, compact polarimetric acquisitions offer a trade-off between the mentioned objectives. With the advent of the RISAT-1 satellite platform, we are able to explore the potential of compact polarimteric acquisitions for sea ice analysis and classification in operational environment. Our algorithmic approach for an automated sea ice classification consists of two steps. In the first step, we perform a feature extraction procedure. The resulting feature vectors are then ingested into a trained neural network classifier to arrive at a pixelwise supervised classification. We present our results on datasets acquired over both Arctic and Antarctic sea ice. |
format |
Conference Object |
author |
Singha, Suman |
author_facet |
Singha, Suman |
author_sort |
Singha, Suman |
title |
Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region |
title_short |
Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region |
title_full |
Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region |
title_fullStr |
Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region |
title_full_unstemmed |
Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region |
title_sort |
potential of compact polarimetry for operational sea ice monitoring over arctic and antarctic region |
publisher |
IEEE |
publishDate |
2018 |
url |
https://elib.dlr.de/118172/ https://elib.dlr.de/118172/1/IGARSS_SeaIce_2018_23042018.pdf https://doi.org/10.1109/IGARSS.2018.8517653 |
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Antarc* Antarctic Arctic Arctic Sea ice |
genre_facet |
Antarc* Antarctic Arctic Arctic Sea ice |
op_relation |
https://elib.dlr.de/118172/1/IGARSS_SeaIce_2018_23042018.pdf Singha, Suman (2018) Potential of compact polarimetry for operational sea ice monitoring over Arctic and Antarctic Region. In: 2018 International Geoscience and Remote Sensing Symposium (IGARSS), Seiten 7113-7116. IEEE. IGARSS 2018, 2018-07-23 - 2018-07-27, Valencia, Spain. doi:10.1109/IGARSS.2018.8517653 <https://doi.org/10.1109/IGARSS.2018.8517653>. |
op_doi |
https://doi.org/10.1109/IGARSS.2018.8517653 |
container_title |
IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium |
container_start_page |
7113 |
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7116 |
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1799470342129844224 |