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Ship Wake Detectability and Classification on TerraSAR-X high resolution data

Tings, Björn and Velotto, Domenico (2018) Ship Wake Detectability and Classification on TerraSAR-X high resolution data. In: Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR, pp. 1307-1310. VDE Verlag GmbH, Berlin, Offenbach. EUSAR 2018, 04. - 07. June 2018, Aachen, Germany. ISBN 978-3-8007-4636-1. ISSN 2197-4403.

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This study elaborates on the detection of ship wake signatures on high resolution TerraSAR-X images. A new data-driven detectability model based on a binary logistic regression classifier is proposed. Additionally, to de-tect small and incompletely imaged wake signatures, a second machine learning approach is investigated. The second approach uses feature extraction and binary classification to classify the area around ships. By applying the detectability model before the classification, the sensibility of the resulting wake detection can be adjusted. The detectability model shows expected dependencies between wake visibility and the affecting parameters. Ini-tial results reach above 70% accuracy for wake classification.

Item URL in elib:https://elib.dlr.de/118179/
Document Type:Conference or Workshop Item (Speech)
Additional Information:https://conference.vde.com/eusar/2018/documents/eusar_2018_program.pdf
Title:Ship Wake Detectability and Classification on TerraSAR-X high resolution data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Tings, BjörnBjoern.Tings (at) dlr.dehttps://orcid.org/0000-0002-1945-6433
Velotto, DomenicoDomenico.Velotto (at) dlr.dehttps://orcid.org/0000-0002-8592-0652
Date:6 June 2018
Journal or Publication Title:Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1307-1310
Publisher:VDE Verlag GmbH, Berlin, Offenbach
Series Name:Electronic Proceedings
Keywords:Oceanography, SAR, ship wake detectability, Classification, TerraSAR-X, high resolution
Event Title:EUSAR 2018
Event Location:Aachen, Germany
Event Type:international Conference
Event Dates:04. - 07. June 2018
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 - SAR methods
Location: Bremen , Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > SAR Signal Processing
Deposited By: Kaps, Ruth
Deposited On:05 Mar 2018 09:58
Last Modified:31 Jul 2019 20:15

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