Automated SEA ICE Classification Over the Baltic SEA using Multiparametric Features of Tandem-X Insar Images

Marjan Marbouti*, Oleg Antropov, Patrick Eriksson, Jaan Praks, Vahid Arabzadeh, Eero Rinne, Matti Lepparanta

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

1 Sitaatiot (Scopus)

Abstrakti

In this study, bistatic interferometric Synthetic Aperture Radar (InSAR) data acquired by the TanDEM-X mission were used for automated classification of sea ice over the Baltic Sea, in the Bothnic Bay. A scene acquired in March of 2012 was used in the study. Backscatter-intensity, coherence-magnitude and InSAR-phase, as well as their different combinations, were used as informative features in several classification approaches. In order to achieve the best discrimination between open water and several sea ice types (new ice, thin smooth ice, close ice, very close ice, ridged ice, heavily ridged ice and ship-track), Random Forests (RF) and Maximum likelihood (ML) classifiers were employed. The best overall accuracies were achieved using combination of backscatter-intensity & InSAR-phase and backscatter-intensity & coherence-magnitude, and were 76.86% and 75.81% with RF and ML classifiers, respectively. Overall, the combination of backscatter-intensity & InSAR-phase with RF classifier was suggested due to the highest overall accuracy (OA) and smaller computing time in comparison to ML. In contrast to several earlier studies, we were able to discriminate water and the thin smooth ice.

AlkuperäiskieliEnglanti
Otsikko2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings
KustantajaIEEE
Sivut7328-7331
Sivumäärä4
ISBN (painettu)978-1-5386-7150-4
DOI - pysyväislinkit
TilaJulkaistu - 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaInternational Geoscience and Remote Sensing Symposium - Valencia, Espanja
Kesto: 22 heinäkuuta 201827 heinäkuuta 2018
Konferenssinumero: 38
https://www.igarss2018.org/

Julkaisusarja

NimiIEEE International Symposium on Geoscience and Remote Sensing IGARSS
KustantajaIEEE
ISSN (painettu)2153-6996

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium
LyhennettäIGARSS
MaaEspanja
KaupunkiValencia
Ajanjakso22/07/201827/07/2018
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