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Processing framework to support maritime surveillance applications based on optical remote sensing images

Voinov, Sergey and Schwarz, Egbert and Krause, Detmar and Berg, Matthias (2018) Processing framework to support maritime surveillance applications based on optical remote sensing images. In: Proceedings of SPIE - The International Society for Optical Engineering, 10773, pp. 1-6. SPIE. Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018), 26-29 March 2018, Paphos, Cyprus. DOI: 10.1117/12.2326058 ISBN 978-151062117-6 ISSN 0277786X

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Official URL: http://spie.org/Publications/Proceedings/Paper/10.1117/12.2326058

Abstract

Nowadays, maritime security faces many kinds of problems – environmental hazards, unlawful actions such like piracy, cargo theft, illegal border crossing etc. These challenges bring the situational awareness of this domain to a high level of importance. Optical satellite images, captured during cloudless weather conditions, are valuable source of information about situation at sea. On the one hand, modern very high resolution (VHR) optical sensors (e.g. WorldView family) taking images with spatial resolution higher than 0.5 m per pixel, enabling to perform object (ship) detection tasks. On the other hand, high resolution (HR) sensors like Landsat-8 and Sentinel-2A(B) are able to cover relatively large areas and are suitable for environment monitoring tasks. Developed at the German Remote Sensing Data Center (DFD), part of the German Aerospace Center (DLR), Maritime Security Lab Processing Framework is intended to support the operational maritime surveillance near real time (NRT) services based HR and VHR optical satellite data. The Framework supports automated request driven processing from different satellite missions provided by a network of different ground stations and service providers. Actionable information products are created in an automatic processing chain including image pre-processing, data transcription and GUI based interactive value adding and validation. The paper will focus on the overall architecture of the framework including workflow of data handling, the interfaces and components, needed to enable fast data access for operator analysis and supervision.

Item URL in elib:https://elib.dlr.de/123883/
Document Type:Conference or Workshop Item (Speech)
Title:Processing framework to support maritime surveillance applications based on optical remote sensing images
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Voinov, SergeySergey.Voinov (at) dlr.dehttps://orcid.org/0000-0003-1511-9728
Schwarz, EgbertEgbert.Schwarz (at) dlr.deUNSPECIFIED
Krause, DetmarDetmar.Krause (at) dlr.deUNSPECIFIED
Berg, MatthiasMatthias.Berg (at) dlr.deUNSPECIFIED
Date:6 August 2018
Journal or Publication Title:Proceedings of SPIE - The International Society for Optical Engineering
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
Volume:10773
DOI :10.1117/12.2326058
Page Range:pp. 1-6
Editors:
EditorsEmail
Themistocleous, K.UNSPECIFIED
Michaelides, S.UNSPECIFIED
Ambrosia, V.UNSPECIFIED
Papadavid, G.UNSPECIFIED
Hadjimitsis, D.G.UNSPECIFIED
Publisher:SPIE
Series Name:Proceedings of SPIE - The International Society for Optical Engineering
ISSN:0277786X
ISBN:978-151062117-6
Status:Published
Keywords:Optical Remote Sensing, Maritime Security, Maritime Surveillance, Vessel Detection, Near Real Time
Event Title:Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018)
Event Location:Paphos, Cyprus
Event Type:international Conference
Event Dates:26-29 March 2018
Organizer:RSCy
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 - Geoproducts, -systems and -services
Location: Neustrelitz
Institutes and Institutions:German Remote Sensing Data Center > National Ground Segment
Deposited By: Voinov, Sergey
Deposited On:29 Nov 2018 09:28
Last Modified:29 Nov 2018 09:28

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