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Classification of fully polarimetric single and dual frequency SAR data of Sea Ice using the Wishart Classifier

Scheuchl, B. and Cumming, I. and Hajnsek, I. (2005) Classification of fully polarimetric single and dual frequency SAR data of Sea Ice using the Wishart Classifier. Can. J. Remote Sensing, vol. 31 (no. 1), pp. 61-72.

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Abstract

Information on the extent and composition of sea ice is important for shipping and offshore operations. Single-polarization spaceborne synthetic aperture radar (SAR) data are an important information source for ice centres around the world. Next-generation SAR satellites will have the capability to collect fully polarimetric SAR data. In this paper we analyze the differences between polarimetric signatures of sea ice and those of land, test several applications of an unsupervised segmentation based on the Wishart distribution of polarimetric data, and give recommendations for modifications to the segmentation method. Airborne C- and L-band sea ice data are investigated. Surface scattering largely dominates sea ice backscatter. A volume component is present; it only dominates for some regions of selected ice types depending on the radar frequency. Dihedral scattering rarely dominates. The application of speckle filters further reduces the number of pixels with predominantly double bounce. The separation of scattering characteristics using the Freeman–Durden model before image classification provides little additional information. The initialization of the segmentation method with a scattering strength based classifier is very efficient and leads to good results.

Item URL in elib:https://elib.dlr.de/6298/
Document Type:Article
Additional Information: LIDO-Berichtsjahr=2005,
Title:Classification of fully polarimetric single and dual frequency SAR data of Sea Ice using the Wishart Classifier
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Scheuchl, B.UNSPECIFIEDUNSPECIFIED
Cumming, I.UNSPECIFIEDUNSPECIFIED
Hajnsek, I.UNSPECIFIEDUNSPECIFIED
Date:2005
Journal or Publication Title:Can. J. Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:Yes
Volume:vol. 31
Page Range:pp. 61-72
Status:Published
Keywords:Classification, Sea-ice
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):UNSPECIFIED
Location: Oberpfaffenhofen
Institutes and Institutions:Microwaves and Radar Institute
Deposited By: Hajnsek, Dr.rer.nat. Irena
Deposited On:16 Sep 2005
Last Modified:06 Jan 2010 20:02

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