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Comparing the potential of dual-pol TerraSAR-X, Sentinel, and Radarsat data for automated, polarimetric sea ice classification

Ressel, Rudolf und Frost, Anja und Lehner, Susanne (2015) Comparing the potential of dual-pol TerraSAR-X, Sentinel, and Radarsat data for automated, polarimetric sea ice classification. In: 36th Canadian Symposium of Remote Sensing - Abstracts. 36th Canadian Symposium of Remote Sensing, 08.-11. June 2015, St. John's, Newfoundland and Laborador, Canada.

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Offizielle URL: http://www.crss-sct.ca/conferences/uploads/documents/con_3/abstracts201536thcsrspdf_2015-06-03-15-49.pdf

Kurzfassung

In contrast to SAR single-pol data, which allow only classical image analysis, SAR dual-pol imagery can be analyzed by means of complex polarimetry. Our work investigates the potential of different dual-pol configurations (co-pol, compact polarimetry) in different satellite SAR sensors (TerraSAR-X, Sentinel; Radarsat) for automatic sea ice classification. The first step of our analysis comprises the extraction of polarimetric features. To enrich the information content of image segments, second order statistics on these polarimetric features are additionally computed. The discriminative power and relevance of the different features are ranked by utilizing the concept of mutual information. Different selections of the most relevant features are then fed into a neural network classifier. We explore different network configurations for optimal classification results. Performance is compared for different selections of relevant features. In order to evaluate the generalizability of trained classifiers, data for classification is taken from various geographical regions (Svalbard, Kara Sea, Baffin Island Coast, Antarctic). The outcome for the different sensors is then also discussed in terms of reliability and applicability. The implemented dual-pol processing chain exhibits improved performance over classical single-pol texture based ice classification approaches and is well-suited for fully automated ice charting purposes in near real-time situations. The promising results we achieved for our single-pol based classification algorithm during field campaigns (Akademik Shokalskyi, Polarstern, Lance) can therefore also be expected for dual-pol data, complementing our portfolio of navigation assistance products.

elib-URL des Eintrags:https://elib.dlr.de/102549/
Dokumentart:Konferenzbeitrag (Poster)
Titel:Comparing the potential of dual-pol TerraSAR-X, Sentinel, and Radarsat data for automated, polarimetric sea ice classification
Autoren:
AutorenInstitution oder E-Mail-AdresseAutoren-ORCID-iDORCID Put Code
Ressel, RudolfRudolf.Ressel (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Frost, AnjaAnja.Frost (at) dlr.dehttps://orcid.org/0000-0002-9748-1589NICHT SPEZIFIZIERT
Lehner, SusanneSusanne.Lehner (at) dlr.deNICHT SPEZIFIZIERTNICHT SPEZIFIZIERT
Datum:Juni 2015
Erschienen in:36th Canadian Symposium of Remote Sensing - Abstracts
Referierte Publikation:Nein
Open Access:Nein
Gold Open Access:Nein
In SCOPUS:Nein
In ISI Web of Science:Nein
Status:veröffentlicht
Stichwörter:dual-pol TerraSAR-X, Sentinel, Radarsar, automated sea ice classification
Veranstaltungstitel:36th Canadian Symposium of Remote Sensing
Veranstaltungsort:St. John's, Newfoundland and Laborador, Canada
Veranstaltungsart:internationale Konferenz
Veranstaltungsdatum:08.-11. June 2015
Veranstalter :Canadian Remote Sensing Society
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 - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (alt)
Standort: Bremen , Oberpfaffenhofen
Institute & Einrichtungen:Institut für Methodik der Fernerkundung > SAR-Signalverarbeitung
Hinterlegt von: Kaps, Ruth
Hinterlegt am:27 Jan 2016 13:40
Letzte Änderung:29 Mär 2023 00:26

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