DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Comparing the potential of dual-pol TerraSAR-X, Sentinel, and Radarsat data for automated, polarimetric sea ice classification

Ressel, Rudolf and Frost, Anja and Lehner, Susanne (2015) Comparing the potential of dual-pol TerraSAR-X, Sentinel, and Radarsat data for automated, polarimetric sea ice classification. In: 36th Canadian Symposium of Remote Sensing - Abstracts. 36th Canadian Symposium of Remote Sensing, 08.-11. June 2015, St. John's, Newfoundland and Laborador, Canada.

Full text not available from this repository.

Official URL: http://www.crss-sct.ca/conferences/uploads/documents/con_3/abstracts201536thcsrspdf_2015-06-03-15-49.pdf


In contrast to SAR single-pol data, which allow only classical image analysis, SAR dual-pol imagery can be analyzed by means of complex polarimetry. Our work investigates the potential of different dual-pol configurations (co-pol, compact polarimetry) in different satellite SAR sensors (TerraSAR-X, Sentinel; Radarsat) for automatic sea ice classification. The first step of our analysis comprises the extraction of polarimetric features. To enrich the information content of image segments, second order statistics on these polarimetric features are additionally computed. The discriminative power and relevance of the different features are ranked by utilizing the concept of mutual information. Different selections of the most relevant features are then fed into a neural network classifier. We explore different network configurations for optimal classification results. Performance is compared for different selections of relevant features. In order to evaluate the generalizability of trained classifiers, data for classification is taken from various geographical regions (Svalbard, Kara Sea, Baffin Island Coast, Antarctic). The outcome for the different sensors is then also discussed in terms of reliability and applicability. The implemented dual-pol processing chain exhibits improved performance over classical single-pol texture based ice classification approaches and is well-suited for fully automated ice charting purposes in near real-time situations. The promising results we achieved for our single-pol based classification algorithm during field campaigns (Akademik Shokalskyi, Polarstern, Lance) can therefore also be expected for dual-pol data, complementing our portfolio of navigation assistance products.

Item URL in elib:https://elib.dlr.de/102549/
Document Type:Conference or Workshop Item (Poster)
Title:Comparing the potential of dual-pol TerraSAR-X, Sentinel, and Radarsat data for automated, polarimetric sea ice classification
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Ressel, RudolfRudolf.Ressel (at) dlr.deUNSPECIFIED
Frost, AnjaAnja.Frost (at) dlr.deUNSPECIFIED
Lehner, SusanneSusanne.Lehner (at) dlr.deUNSPECIFIED
Date:June 2015
Journal or Publication Title:36th Canadian Symposium of Remote Sensing - Abstracts
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:dual-pol TerraSAR-X, Sentinel, Radarsar, automated sea ice classification
Event Title:36th Canadian Symposium of Remote Sensing
Event Location:St. John's, Newfoundland and Laborador, Canada
Event Type:international Conference
Event Dates:08.-11. June 2015
Organizer:Canadian Remote Sensing Society
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 - Vorhaben Entwicklung und Erprobung von Verfahren zur Gewässerfernerkundung (old)
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:27 Jan 2016 13:40
Last Modified:28 Jan 2016 14:03

Repository Staff Only: item control page

Help & Contact
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.