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A MEASUREMENT CAMPAIGN IN HARBOR TO DETECT CHANGES OF ACTIVITIES
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-3945-8951
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0002-6643-312X
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
Swedish Def Res Agcy, SWE.
2019 (English)In: 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), IEEE , 2019, p. 1494-1497Conference paper, Published paper (Refereed)
Abstract [en]

The typical activities in a harbor mainly concern logistics, traffic and transportation that need to be monitored or optimized. This paper reports a measurement campaign whose goal is to evaluate the performance of activity surveillance in a harbor using satellite SAR systems. The measurements were conducted in the southern Baltic sea, around the Verko harbor in Karlskrona, Sweden in the middle of 2018. The SAR data acquisition was with TerraSAR-X/TanDEM-X operating in staring spotlight mode as high resolution was desired. For an accurate evaluation, all activities in the Verko harbor were video recorded by a drone during the satellite measurement time. Some radar corner reflectors were also deployed on the ground that are available for co-registration. The data associated with two measurements in the end of August and in the beginning of September is presented in this paper. The SAR change detection processing and the initial analysis show the possibility to monitor activities concerning logistics, traffic and transportation using satellite SAR.

Place, publisher, year, edition, pages
IEEE , 2019. p. 1494-1497
Series
IEEE International Symposium on Geoscience and Remote Sensing IGARSS, ISSN 2153-6996
Keywords [en]
Transport monitoring, TerraSAR-X/TanDEM-X, Bayes' theorem, multivariate distribution
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Remote Sensing
Identifiers
URN: urn:nbn:se:bth-19386ISI: 000519270601182ISBN: 978-1-5386-9154-0 (print)OAI: oai:DiVA.org:bth-19386DiVA, id: diva2:1424017
Conference
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), JUL 28-AUG 02, 2019, Yokohama, JAPAN
Available from: 2020-04-16 Created: 2020-04-16 Last updated: 2021-03-26Bibliographically approved

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Vu, Viet ThuyPettersson, MatsDahl, Mattias

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