Knowledge-based sea ice classification by polarimetric SAR

Henning Skriver, Wolfgang Dierking

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Abstract

Polarimetric SAR images acquired at C- and L-band over sea ice in the Greenland Sea, Baltic Sea, and Beaufort Sea have been analysed with respect to their potential for ice type classification. The polarimetric data were gathered by the Danish EMISAR and the US AIRSAR which both are airborne systems. A hierarchical classification scheme was chosen for sea ice because our knowledge about magnitudes, variations, and dependences of sea ice signatures can be directly considered. The optimal sequence of classification rules and the rules themselves depend on the ice conditions/regimes. The use of the polarimetric phase information improves the classification only in the case of thin ice types but is not necessary for thicker ice (above about 30 cm thickness)
Original languageEnglish
Title of host publicationIEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings.
PublisherIEEE
Publication date2004
ISBN (Print)0-7803-8742-2
DOIs
Publication statusPublished - 2004
Event2004 IEEE International Geoscience and Remote Sensing Symposium - Anchorage, AK, United States
Duration: 20 Sep 200424 Sep 2004
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9436

Conference

Conference2004 IEEE International Geoscience and Remote Sensing Symposium
Country/TerritoryUnited States
CityAnchorage, AK
Period20/09/200424/09/2004
Internet address

Bibliographical note

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