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Multi-Frequency and Multi-Polarization Analysis of Oil Slicks using TerraSAR-X and RADARSAT-2 Data

Singha, Suman and Ressel, Rudolf and Lehner, Susanne (2016) Multi-Frequency and Multi-Polarization Analysis of Oil Slicks using TerraSAR-X and RADARSAT-2 Data. In: Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International, pp. 4035-4038. IEEE Xplore. IGARSS 2016, 10.- 15. Juli 2016, Peking, China. DOI: 10.1109/IGARSS.2016.7730049 ISBN 978-1-5090-3332-4 ISSN 2153-7003

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Official URL: http://dx.doi.org/10.1109/IGARSS.2016.7730049

Abstract

The use of fully polarimetric SAR data for oil spill detection is relatively new and shows great potential for operational offshore platform monitoring. Greater availability of these kind of SAR data calls for a development of time critical processing chain capable of detecting and distinguishing oil spills from ’look-alikes’. This paper describes the development of an automated Near Real Time (NRT) oil spill detection processing chain based on quad-pol RADARSAT-2 (RS-2) and quad-pol TerraSAR-X (TS-X) images, wherein we use polarimetric features (e.g. Lexicographic and Pauli Based features) to characterize oil spills and look-alikes. Numbers of TS-X and RS-2 images have been acquired over known offshore platforms along with some near coincident (spatially and temporally) acquisition. Ten polarimetric feature Parameters were extracted from different types of oil (e.g. crude oil, emulsion etc) and ’look-alike’ (e.g. plant oil, met-oceanic phenomenon etc) spots and divided into training and Validation dataset seperately for TerraSAR-X RADARSAT-2. Extracted features were then used for training and validation of a pixel based Artificial Neural Network (ANN) classifier. Initial performance estimation was carried out for the proposed methodology in order to evaluate its suitability for NRT operational service. Mutual information contents among extracted features were assessed and feature parameters were ranked according to their ability to discriminate between oil spills and look- alikes. Polarimetric features such as Scattering Diversity and Pauli-based features proved.

Item URL in elib:https://elib.dlr.de/102309/
Document Type:Conference or Workshop Item (Speech)
Additional Information:http://www.igarss2016.org/
Title:Multi-Frequency and Multi-Polarization Analysis of Oil Slicks using TerraSAR-X and RADARSAT-2 Data
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Singha, Sumansuman.singha (at) dlr.dehttps://orcid.org/0000-0002-1880-6868
Ressel, RudolfRudolf.Ressel (at) dlr.deUNSPECIFIED
Lehner, SusanneSusanne.Lehner (at) dlr.deUNSPECIFIED
Date:3 November 2016
Journal or Publication Title:Geoscience and Remote Sensing Symposium (IGARSS), 2016 IEEE International
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2016.7730049
Page Range:pp. 4035-4038
Editors:
EditorsEmail
UNSPECIFIEDIEEE
Publisher:IEEE Xplore
ISSN:2153-7003
ISBN:978-1-5090-3332-4
Status:Published
Keywords:Oil Spill Detection; Feature Extraction, Feature Ranking; Pol-SAR, TerraSAR-X, RADARSAT-2
Event Title:IGARSS 2016
Event Location:Peking, China
Event Type:international Conference
Event Dates:10.- 15. Juli 2016
Organizer:IEEE
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 , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute
Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:22 Jan 2016 14:15
Last Modified:31 Jul 2019 19:59

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