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A Combination of Traditional and Polarimetric Features for Oil Spill Detection using TerraSAR-X

Singha, Suman and Ressel, Rudolf and Velotto, Domenico and Lehner, Susanne (2016) A Combination of Traditional and Polarimetric Features for Oil Spill Detection using TerraSAR-X. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9 (11), pp. 4979-4990. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2016.2559946 ISSN 1939-1404

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Official URL: http://dx.doi.org/10.1109/JSTARS.2016.2559946

Abstract

Synthetic aperture radar (SAR) images are operationally used for the detection of oil spills in the marine environment, as they are independent of sun light and weather-induced phenomena. Exploitation of radar polarimetric features for operational oil spill detection is relatively new and until recently those properties have not been extensively exploited. This paper describes the development of a oil spill detection processing chain using coherent dual-polarimetric (copolarized channels, i.e., HHVV) TerraSAR-X images. The proposed methodology focuses on offshore platform monitoring and introduces for the first time a combination of traditional and polarimetric features for objectbased oil spill detection and look-alike discrimination.Atotal number of 35 feature parameters were extracted from 225 oil spills and 26 look-alikes and divided into training and validation dataset. Mutual information content among extracted features have been assessed and feature parameters are ranked according to their ability to discriminate between oil spill and look-alike. Extracted features are used for training and validation of a support vector machine-based classifier. Performance estimation was carried out for the proposed methodology on a large dataset with overall classification accuracy of 90% oil spills and 80% for look-alikes. Polarimetric features such as geometric intensity, copolarization power ratio, span proved to be more discriminative than other polarimetric and traditional features.

Item URL in elib:https://elib.dlr.de/96630/
Document Type:Article
Title:A Combination of Traditional and Polarimetric Features for Oil Spill Detection using TerraSAR-X
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
Velotto, DomenicoDomenico.Velotto (at) dlr.dehttps://orcid.org/0000-0002-8592-0652
Lehner, SusanneSusanne.Lehner (at) dlr.deUNSPECIFIED
Date:23 June 2016
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:9
DOI :10.1109/JSTARS.2016.2559946
Page Range:pp. 4979-4990
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Polarimetry; TerraSAR-X; Oil Spill
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 > SAR Signal Processing
Remote Sensing Technology Institute
Deposited By: Kaps, Ruth
Deposited On:31 Jul 2015 14:19
Last Modified:31 Jul 2019 19:53

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