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Characterization of Arctic Sea Ice using L, S and X-Band Fully Polarimetric Airborne F-SAR System

Singha, Suman and Jäger, Marc (2018) Characterization of Arctic Sea Ice using L, S and X-Band Fully Polarimetric Airborne F-SAR System. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 441-445. VDE Verlag GmbH, Berlin, Offenbach. European Conference on Synthetic Aperture Radar (EUSAR), 04.-07. Juni 2018, Aachen, Germany. ISBN 978-3-8007-4636-1. ISSN 2197-4403.

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Sea ice monitoring has attracted increasing attention over the last few decades. Besides the scientific interest in sea ice, the operational aspect of ice charting is becoming more important due to growing navigational possibilities in an increasingly ice free Arctic. Despite proven sea ice classification achievements on single polarimetric SAR data, a fully automated, general purpose classifier for single-pol data has not been established due to large variation of sea ice manifestations and incidence angle impact. Recently, through the advent of polarimetric SAR sensors, polarimetric features have moved into the focus of ice classification research. The higher information content four polarimetric channels promises to offer greater insight into sea ice scattering mechanism and overcome some of the shortcomings of single-polarimetric SAR for sea ice type discrimination. In this study, fully polarimetric data in L, S and X-band simultaneously acquired by DLR’s FSAR system are investigated. Specific dataset were acquired in the framework of DLR-DALO ARCTIC’15 campaign over west Greenland. Proposed supervised classification algorithm consists of two steps: The first step comprises a feature extraction, the results of which are ingested into a neural network classifier in the second step for training and validation. Based on the common coherency and covariance matrix, we extract a number of features and analyze the relevance and redundancy by means of mutual information for the purpose of sea ice classification. Usefulness of different polarimetric features at different frequency bands will be investigated using mutual information analysis along with quantitative comparison of classification results at different frequency bands. Validation of sea ice classification results with Across Track Interferometry (XTI) - derived freeboard measurement is ongoing and initial results are reported.

Item URL in elib:https://elib.dlr.de/118181/
Document Type:Conference or Workshop Item (Speech)
Additional Information:https://conference.vde.com/eusar/2018/documents/eusar_2018_program.pdf
Title:Characterization of Arctic Sea Ice using L, S and X-Band Fully Polarimetric Airborne F-SAR System
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Singha, SumanUNSPECIFIEDhttps://orcid.org/0000-0002-1880-6868UNSPECIFIED
Jäger, MarcUNSPECIFIEDhttps://orcid.org/0000-0001-9685-2977UNSPECIFIED
Date:6 June 2018
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 441-445
Publisher:VDE Verlag GmbH, Berlin, Offenbach
Series Name:Electronic Proceedings
Keywords:SAR, Arctic Sea Ice Characterization, Sea Ice, L-Band, S-Band, X-Band, fully polarimetric, plorimetry, airborne, F-SAR,
Event Title:European Conference on Synthetic Aperture Radar (EUSAR)
Event Location:Aachen, Germany
Event Type:international Conference
Event Dates:04.-07. Juni 2018
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Earth Observation
DLR - Research theme (Project):R - SAR methods
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Microwaves and Radar Institute > SAR Technology
Deposited By: Kaps, Ruth
Deposited On:22 Feb 2018 13:15
Last Modified:29 Mar 2023 00:07

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