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Arctic Sea Ice Classification and Validation using Multi Frequency Fully Polarimetric and Interferometric Airborne F-SAR System

Singha, Suman und Jäger, Marc (2019) Arctic Sea Ice Classification and Validation using Multi Frequency Fully Polarimetric and Interferometric Airborne F-SAR System. International Glaciological Society Sea Ice Symposium, 2019-08-18 - 2019-08-23, Winnipeg, Canada.

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Offizielle URL: https://www.igsoc.org/symposia/2019/winnipeg/proceedings/procsfiles/procabstracts_76.html#A3205

Kurzfassung

Along with increasing scientific interest in sea ice, the operational aspect of high-resolution ice charting is becoming more important due to growing navigational possibilities in an increasingly ice-free Arctic, especially through the marginal ice zone. Despite proven sea-ice classification achievements on single polarimetric SAR data, a fully automated, general-purpose classifier for single-polarimetric data has not been established due to large variation and incidence-angle dependencies of SAR backscatter. Recently, through the advent of polarimetric SAR sensors, polarimetric features have moved into the focus of ice-classification research. The higher information content of four polarimetric channels promises to offer a greater insight into the sea-ice scattering mechanism. While airborne and shipborne radar cannot always be used during adverse weather conditions, it provides us with unique simultaneous multi-frequency and fully polarimetric and interferometric observations, which is not possible at the moment using space-borne sensors. In this study, fully polarimetric data in L-, S- and X-band simultaneously acquired by DLR’s FSAR system are investigated. The specific dataset was acquired in the framework of DLR-DALO ARCTIC’15 campaign over west Greenland. The proposed supervised classification algorithm consists of two steps: The first step comprises a feature extraction, the results of which are ingested into a neural network classifier in the second step for training and validation. The usefulness of different polarimetric features at different frequency bands is investigated using mutual information analysis along with quantitative comparison of classification results at different frequency bands. In this study we also investigated for the first time single-pass Across Track Interferometry (XTI)–derived sea-ice-freeboard measurement validation of our classification results with XTI-derived freeboard measurements.

elib-URL des Eintrags:https://elib.dlr.de/127243/
Dokumentart:Konferenzbeitrag (Vortrag)
Zusätzliche Informationen:conference link: https://igswpg.com/
Titel:Arctic Sea Ice Classification and Validation using Multi Frequency Fully Polarimetric and Interferometric Airborne F-SAR System
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Singha, SumanSuman.Singha (at) dlr.dehttps://orcid.org/0000-0002-1880-6868NICHT SPEZIFIZIERT
Jäger, MarcMarc.Jaeger (at) dlr.dehttps://orcid.org/0000-0001-9685-2977NICHT SPEZIFIZIERT
Datum:August 2019
Referierte Publikation:Nein
Open Access:Ja
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:SAR, Arctic Sea Ice Classification, Sea Ice, L-Band, S-Band, X-Band, fully polarimetric, polarimetry, airborne, F-SAR
Veranstaltungstitel:International Glaciological Society Sea Ice Symposium
Veranstaltungsort:Winnipeg, Canada
Veranstaltungsart:internationale Konferenz
Veranstaltungsbeginn:18 August 2019
Veranstaltungsende:23 August 2019
Veranstalter :International Glaciological Society (IGS)
HGF - Forschungsbereich:Luftfahrt, Raumfahrt und Verkehr
HGF - Programm:Raumfahrt
HGF - Programmthema:Erdbeobachtung
DLR - Schwerpunkt:Raumfahrt
DLR - Forschungsgebiet:R EO - Erdbeobachtung
DLR - Teilgebiet (Projekt, Vorhaben):R - SAR-Methoden
Standort: Bremen , Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung
Institut für Hochfrequenztechnik und Radarsysteme > SAR-Technologie
Hinterlegt von: Kaps, Ruth
Hinterlegt am:26 Apr 2019 10:38
Letzte Änderung:24 Apr 2024 20:31

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