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First Tests on Near Real Time Ice Type Classification in Antarctica

Lehner, Susanne and Krumpen, Thomas and Frost, Anja and Ressel, Rudolf and Busche, Thomas and Schwarz, Egbert (2014) First Tests on Near Real Time Ice Type Classification in Antarctica. In: Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International, pp. 4876-4879. IEEE. IGARSS 2014, 2014-07-13 - 2014-07-18, Québec, Kanada. DOI: 10.1109/IGARSS.2014.6947587 ISBN 978-1-4799-5774-3

Full text not available from this repository.

Official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6947587

Abstract

In this paper, we explore the capabilities of an algorithm for ice type classification. Our main motivation and exemplary application was the recent incident of the research vessel Akademik Shokalskiy, which was trapped in pack ice for about two weeks. Strong winds had driven ice floes into a way, forming an area of pack ice, blocking the ship's advancement. High-resolution satellite images helped to assess the ice conditions at the location. To extract relevant information automatically from the images, we apply an algorithm that is aimed to generate an ice chart, outlining the different ice type zones such as pack ice, fast ice, open water. The algorithm is based on texture analysis. Textures are selected that allow recognition of different structures in ice. Subsequently, a neural network performs the classification. Since results are output in near real time, the algorithm offers new opportunities for ship routing in ice infested areas.

Item URL in elib:https://elib.dlr.de/89500/
Document Type:Conference or Workshop Item (Speech)
Title:First Tests on Near Real Time Ice Type Classification in Antarctica
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Lehner, SusanneSusanne.Lehner (at) dlr.deUNSPECIFIED
Krumpen, ThomasAlfred Wegener Institute for Polar and Marine Research, Bremerhaven, GermanyUNSPECIFIED
Frost, AnjaAnja.Frost (at) dlr.deUNSPECIFIED
Ressel, RudolfRudolf.Ressel (at) dlr.deUNSPECIFIED
Busche, ThomasThomas.Busche (at) dlr.deUNSPECIFIED
Schwarz, EgbertEgbert.Schwarz (at) dlr.deUNSPECIFIED
Date:2014
Journal or Publication Title:Geoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2014.6947587
Page Range:pp. 4876-4879
Publisher:IEEE
ISBN:978-1-4799-5774-3
Status:Published
Keywords:GLCM features, neural network, ship navigation, TerraSAR-X, sea ice classification
Event Title:IGARSS 2014
Event Location:Québec, Kanada
Event Type:international Conference
Event Dates:2014-07-13 - 2014-07-18
Organizer:IEEE Geoscience and Remote Sensing Society (GRSS) and the Canadian Remote Sensing Society (CRSS)
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Bremen , Neustrelitz , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
German Remote Sensing Data Center > National Ground Segment
Microwaves and Radar Institute > Radar Concepts
Deposited By: Kaps, Ruth
Deposited On:05 Sep 2014 09:27
Last Modified:30 Jan 2015 11:09

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