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CHANGE DETECTION AND SIGNATURE CLASSIFICATION FOR SAR GMTI
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
Swedish Def Res Agcy, SWE.
2020 (English)In: IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2020, p. 1997-2000Conference paper, Published paper (Refereed)
Abstract [en]

The pursuit monostatic is a SAR operating mode that requires two SAR data acquisitions separated in short time (seconds) using the same flight tracks and being. In this case, the changes in a SAR scene come mainly from ground moving targets, thus opening up opportunities to detect ground moving targets using SAR change detection methods. The paper introduces a SAR GMTI method that is based on a change detection method in combination with a signature classification. The SAR GMTI method is tested with the pursuit monostatic data acquired by TerraSAR-X and TanDEM-X in 2015.

Place, publisher, year, edition, pages
2020. p. 1997-2000
Series
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-22099DOI: 10.1109/IGARSS39084.2020.9323320ISI: 000664335302013ISBN: 978-1-7281-6374-1 (print)OAI: oai:DiVA.org:bth-22099DiVA, id: diva2:1590713
Conference
IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
Available from: 2021-09-03 Created: 2021-09-03 Last updated: 2021-09-03Bibliographically approved

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Vu, Viet ThuyPettersson, Mats

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