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

Ship classification in high and very high resolution satellite SAR imagery

Fernandez Arguedas, Virginia and Velotto, Domenico and Tings, Björn and Greidanus, Harm and Bentes da Silva, Carlos Augusto (2016) Ship classification in high and very high resolution satellite SAR imagery. In: Security Research Conference, 11th Future Security, Berlin, September 13-14, 2016, Proceedings, pp. 347-354. Fraunhofer Verlag. 11. Future Security, 13. – 14. Sept. 2016, Berlin, Germany.

[img] PDF
2MB

Official URL: http://www.future-security2016.de/content/dam/iaf/future-security2016/de/Dokumente/FuSec2016_Proceedings-E-Book.pdf

Abstract

To serve the security of the maritime domain, ship self-reporting systems provide information on the cooperative vessels. However, non-reporting ships should be also monitored. Satellite images can be used to detect and classify non-reporting ships. Synthetic Aperture Radar (SAR) offers monitoring capabilities regardless of clouds or daylight, and hence it is used for satellite global monitoring. Different satellite SAR systems are deployed, from European ones such as Sentinel-1, to national ones such as TerraSAR-X, presenting very diverse characteristics from their coverage to their image resolution. In this paper, two ship classification methods are presented, a method developed for use on high (20 m) resolution SAR images (Sentinel-1 dataset), and a method developed for use on very high (3 m) resolution ones (TerraSAR-X dataset). In a cross-application experiment, both methods are evaluated on both datasets. The exercise quantifies the methods’ performance across resolutions, highlighting their pros and cons in this challenging application.

Item URL in elib:https://elib.dlr.de/103689/
Document Type:Conference or Workshop Item (Speech)
Additional Information:presented by H. Greidanus; free access to concerning PDF via link
Title:Ship classification in high and very high resolution satellite SAR imagery
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Fernandez Arguedas, VirginiaJoint Research Centre (JRC), Via E. Fermi 2749, 21027 Ispra (VA), ItaliaUNSPECIFIED
Velotto, DomenicoDomenico.Velotto (at) dlr.dehttps://orcid.org/0000-0002-8592-0652
Tings, BjörnBjoern.Tings (at) dlr.dehttps://orcid.org/0000-0002-1945-6433
Greidanus, HarmJoint Research Centre (JRC), Via E. Fermi 2749, 21027 Ispra (VA), ItaliaUNSPECIFIED
Bentes da Silva, Carlos AugustoCarlos.Bentes (at) dlr.dehttps://orcid.org/0000-0002-5941-334X
Date:14 September 2016
Journal or Publication Title:Security Research Conference, 11th Future Security, Berlin, September 13-14, 2016, Proceedings
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Page Range:pp. 347-354
Editors:
EditorsEmail
Ambacher, OliverUNSPECIFIED
Quai, RüdigerUNSPECIFIED
Wagner, JoachimUNSPECIFIED
Publisher:Fraunhofer Verlag
Status:Published
Keywords:Maritime Surveillance, Ship Classification, Synthetic Aperture Radar
Event Title:11. Future Security
Event Location:Berlin, Germany
Event Type:international Conference
Event Dates:13. – 14. Sept. 2016
Organizer:Fraunhofer VVS
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:01 Jul 2016 10:48
Last Modified:31 Jul 2019 20:00

Repository Staff Only: item control page

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