Knowledge-based sea ice classification by polarimetric SAR

Henning Skriver; Wolfgang Dierking

doi:10.1109/IGARSS.2004.1368995

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 language	English
Title of host publication	IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings.
Publisher	IEEE
Publication date	2004
ISBN (Print)	0-7803-8742-2
DOIs	https://doi.org/10.1109/IGARSS.2004.1368995
Publication status	Published - 2004
Event	2004 IEEE International Geoscience and Remote Sensing Symposium - Anchorage, United States Duration: 20 Sept 2004 → 24 Sept 2004 http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9436

Conference

Conference	2004 IEEE International Geoscience and Remote Sensing Symposium
Country/Territory	United States
City	Anchorage
Period	20/09/2004 → 24/09/2004
Internet address	http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9436

Bibliographical note

Copyright: 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Knowledge-based sea ice classification by polarimetric SAR",

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)",

author = "Henning Skriver and Wolfgang Dierking",

note = "Copyright: 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 2004 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2004 ; Conference date: 20-09-2004 Through 24-09-2004",

year = "2004",

doi = "10.1109/IGARSS.2004.1368995",

language = "English",

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booktitle = "IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings.",

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TY - GEN

T1 - Knowledge-based sea ice classification by polarimetric SAR

AU - Skriver, Henning

AU - Dierking, Wolfgang

N1 - Copyright: 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2004

Y1 - 2004

N2 - 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)

AB - 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)

U2 - 10.1109/IGARSS.2004.1368995

DO - 10.1109/IGARSS.2004.1368995

M3 - Article in proceedings

SN - 0-7803-8742-2

BT - IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings.

PB - IEEE

T2 - 2004 IEEE International Geoscience and Remote Sensing Symposium

Y2 - 20 September 2004 through 24 September 2004

ER -

Knowledge-based sea ice classification by polarimetric SAR

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