ERS-2 SAR image analysis for sea ice classification in the marginal ice zone

Author

Kaleschke, Lars ; Kern, Stefan

Author_Institution

Inst. of Environ. Phys. & Remote Sensing, Bremen Univ., Germany

Volume

5

fYear

2002

fDate

2002

Firstpage

3038

Abstract

The possibility to distinguish between different sea ice types in the marginal ice zone in the Greenland Sea using ERS-2 SAR is investigated. Statistical, textural and spectral features derived from ERS-2 SAR images and ice concentrations from 85 GHz SSM/I data are analyzed using learning vector quantization. The proposed method is useful for resolving ambiguities arising from frost flowers or pancake ice with very high backscatter values similar to the wind roughened sea surface.

Keywords

geophysical signal processing; image classification; oceanographic regions; oceanographic techniques; radar imaging; remote sensing by radar; sea ice; spaceborne radar; synthetic aperture radar; Arctic Ocean; Greenland Sea; MIZ; SAR; ambiguities; classification; frost flowers; ice concentration; image analysis; image processing; image texture; imaging; learning vector quantization; marginal ice zone; measurement technique; ocean; pancake ice; radar remote sensing; sea ice; sea ice types; spaceborne radar; spectral features; synthetic aperture radar; Backscatter; Data analysis; Ice surface; Image analysis; Image texture analysis; Rough surfaces; Sea ice; Sea surface; Surface roughness; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International

Print_ISBN

0-7803-7536-X

Type

conf

DOI

10.1109/IGARSS.2002.1026862

Filename

1026862