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Dual-Polarimetric Feature Extraction and Evaluation for Oil Spill Detection: A Near Real Time Perspective

Singha, Suman and Velotto, Domenico and Lehner, Susanne (2015) Dual-Polarimetric Feature Extraction and Evaluation for Oil Spill Detection: A Near Real Time Perspective. In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, pp. 3235-3238. IEEE Xplore. IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015, 26-31 July 2015, Milan, Italy. DOI: 10.1109/IGARSS.2015.7326507 ISBN 978-1-4799-7929-5

Full text not available from this repository.

Official URL: http://dx.doi.org/10.1109/IGARSS.2015.7326507

Abstract

Exploitation of polarimetric features for oil spill detection is relatively new and until recently those properties have not been used for operational services. In last decade, a number of semi-automatic and automatic techniques have been proposed in order to differentiate oil spill and look alike spots based on single pol SAR data, however these techniques suffer from high miss-classification rate which is completely undesirable for operational services. In addition to that, small operational spillages from offshore platforms are often ignored as it appears insignificant on traditional ‘ScanSAR’ images. In order to mitigate this situation a major focus of research in this area is the development of automated algorithms based on polarimetric images to distinguish oil spills from ‘look-alikes’. This paper describes the development of a Near Real Time (NRT) oil spill detection processing chain based on dual-polarimetric TerraSAR-X images combining traditional and polarimetric features (e.g. Lexicographic and Pauli Based features). Total number of 35 feature parameters were extracted and evaluated for oil spill and look alike discrimination; including both single polarimetric and dual polarimetric based features from each segmented dark spot. Extracted features are then used for training and validation of a decision tree classifier. Initial performance estimation was carried out for the proposed methodology in order to evaluate its suitability for NRT operational service.

Item URL in elib:https://elib.dlr.de/95912/
Document Type:Conference or Workshop Item (Poster)
Additional Information:published online; http://www.igarss2015.org/
Title:Dual-Polarimetric Feature Extraction and Evaluation for Oil Spill Detection: A Near Real Time Perspective
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Singha, SumanSuman.Singha (at) dlr.deUNSPECIFIED
Velotto, DomenicoDomenico.Velotto (at) dlr.deUNSPECIFIED
Lehner, SusanneSusanne.Lehner (at) dlr.deUNSPECIFIED
Date:2015
Journal or Publication Title:Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/IGARSS.2015.7326507
Page Range:pp. 3235-3238
Publisher:IEEE Xplore
ISBN:978-1-4799-7929-5
Status:Published
Keywords:Polarimetric Oil spill detection, Feature Extraction, Near Real Time Services; Dual-Pol TerraSAR-X
Event Title:IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2015
Event Location:Milan, Italy
Event Type:international Conference
Event Dates:26-31 July 2015
Organizer:IEEE Geoscience and 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 - 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:13 Apr 2015 16:06
Last Modified:25 Nov 2015 14:45

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