Multi-polarization SAR measurements to observe coastal areas in Antarctica

In this study, multi-polarization synthetic aperture radar (SAR) data collected by the C-band Radarsat-2 SAR mission in Antarctica are exploited to observe the Terra Nova Bay (TNB). The latter represent a complex coastal scenario where open ocean, sea ice, polynyas, ice sheets and tongues are presen...

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Published in:IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Main Authors: Nunziata F., Buono A., Moctezuma M. F., Parmiggiani F., Migliaccio M.
Other Authors: IEEE, Nunziata, F., Buono, A., Moctezuma, M. F., Parmiggiani, F., Migliaccio, M.
Format: Conference Object
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Subjects:
Online Access:http://hdl.handle.net/11367/77258
https://doi.org/10.1109/IGARSS.2018.8518307
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author Nunziata F.
Buono A.
Moctezuma M. F.
Parmiggiani F.
Migliaccio M.
author2 IEEE
Nunziata, F.
Buono, A.
Moctezuma, M. F.
Parmiggiani, F.
Migliaccio, M.
author_facet Nunziata F.
Buono A.
Moctezuma M. F.
Parmiggiani F.
Migliaccio M.
author_sort Nunziata F.
collection Università degli Studi di Napoli "Parthenope": CINECA IRIS
container_start_page 7340
container_title IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
description In this study, multi-polarization synthetic aperture radar (SAR) data collected by the C-band Radarsat-2 SAR mission in Antarctica are exploited to observe the Terra Nova Bay (TNB). The latter represent a complex coastal scenario where open ocean, sea ice, polynyas, ice sheets and tongues are present. Single-polarization (SP) features, including co- and cross-polarized backscattering intensities, and dual-polarimetric (DP) features, including eigenvalue-based decomposition features and the polarization ratio, are used to identify the signatures of the different environments that characterize the TNB and to perform an unsupervised classification. Experimental results, obtained using Markov Random Fields and polarimetric decompositions, show that: i) SP and DP features allow estimating the extent of polynya; ii) DP approach allows inferring useful information on the different scenarios; iii) clear signatures can be identified according to the considered multi-polarization feature set.
format Conference Object
genre Antarc*
Antarctica
Sea ice
genre_facet Antarc*
Antarctica
Sea ice
geographic Terra Nova Bay
geographic_facet Terra Nova Bay
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institution Open Polar
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op_doi https://doi.org/10.1109/IGARSS.2018.8518307
op_relation info:eu-repo/semantics/altIdentifier/isbn/978-1-5386-7150-4
info:eu-repo/semantics/altIdentifier/wos/WOS:000451039807010
ispartofbook:International Geoscience and Remote Sensing Symposium (IGARSS)
38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018
volume:2018-
firstpage:7340
lastpage:7343
numberofpages:4
http://hdl.handle.net/11367/77258
doi:10.1109/IGARSS.2018.8518307
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publisher Institute of Electrical and Electronics Engineers Inc.
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spelling ftuninapoliparth:oai:ricerca.uniparthenope.it:11367/77258 2025-01-16T19:06:54+00:00 Multi-polarization SAR measurements to observe coastal areas in Antarctica Nunziata F. Buono A. Moctezuma M. F. Parmiggiani F. Migliaccio M. IEEE Nunziata, F. Buono, A. Moctezuma, M. F. Parmiggiani, F. Migliaccio, M. 2018 http://hdl.handle.net/11367/77258 https://doi.org/10.1109/IGARSS.2018.8518307 eng eng Institute of Electrical and Electronics Engineers Inc. info:eu-repo/semantics/altIdentifier/isbn/978-1-5386-7150-4 info:eu-repo/semantics/altIdentifier/wos/WOS:000451039807010 ispartofbook:International Geoscience and Remote Sensing Symposium (IGARSS) 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 volume:2018- firstpage:7340 lastpage:7343 numberofpages:4 http://hdl.handle.net/11367/77258 doi:10.1109/IGARSS.2018.8518307 info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85063150297 MRF Polarimetry Radarsat-2 SAR Terra Nova Bay info:eu-repo/semantics/conferenceObject 2018 ftuninapoliparth https://doi.org/10.1109/IGARSS.2018.8518307 2024-03-28T01:12:57Z In this study, multi-polarization synthetic aperture radar (SAR) data collected by the C-band Radarsat-2 SAR mission in Antarctica are exploited to observe the Terra Nova Bay (TNB). The latter represent a complex coastal scenario where open ocean, sea ice, polynyas, ice sheets and tongues are present. Single-polarization (SP) features, including co- and cross-polarized backscattering intensities, and dual-polarimetric (DP) features, including eigenvalue-based decomposition features and the polarization ratio, are used to identify the signatures of the different environments that characterize the TNB and to perform an unsupervised classification. Experimental results, obtained using Markov Random Fields and polarimetric decompositions, show that: i) SP and DP features allow estimating the extent of polynya; ii) DP approach allows inferring useful information on the different scenarios; iii) clear signatures can be identified according to the considered multi-polarization feature set. Conference Object Antarc* Antarctica Sea ice Università degli Studi di Napoli "Parthenope": CINECA IRIS Terra Nova Bay IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium 7340 7343
spellingShingle MRF
Polarimetry
Radarsat-2
SAR
Terra Nova Bay
Nunziata F.
Buono A.
Moctezuma M. F.
Parmiggiani F.
Migliaccio M.
Multi-polarization SAR measurements to observe coastal areas in Antarctica
title Multi-polarization SAR measurements to observe coastal areas in Antarctica
title_full Multi-polarization SAR measurements to observe coastal areas in Antarctica
title_fullStr Multi-polarization SAR measurements to observe coastal areas in Antarctica
title_full_unstemmed Multi-polarization SAR measurements to observe coastal areas in Antarctica
title_short Multi-polarization SAR measurements to observe coastal areas in Antarctica
title_sort multi-polarization sar measurements to observe coastal areas in antarctica
topic MRF
Polarimetry
Radarsat-2
SAR
Terra Nova Bay
topic_facet MRF
Polarimetry
Radarsat-2
SAR
Terra Nova Bay
url http://hdl.handle.net/11367/77258
https://doi.org/10.1109/IGARSS.2018.8518307