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Change Detection for Monostatic Pursuit SAR GMTI-Theories and Experimental Results
Swedish Defence Research Agency, SWE.
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 Defence Research Agency, SWE.
2022 (English)In: IEEE Transactions on Geoscience and Remote Sensing, ISSN 0196-2892, E-ISSN 1558-0644, Vol. 60, article id 5235514Article in journal (Refereed) Published
Abstract [en]

Monostatic pursuit refers to the operating mode formed by two monostatic synthetic aperture radar (SAR) systems that follow an identical orbit with a separation in a time of several seconds. The detected changes between SAR scenes with several seconds of time difference are most likely the changes caused by ground moving targets. Hence, this operating mode opens an opportunity to detect ground moving targets by SAR change detection methods. This article investigates this possibility to detect ground moving targets using change detection and to combine change detection and ground moving target indication (GMTI) for GMTI. In this combination, a GMTI method will help to classify the detected changes obtained with a change detection method. Some GMTI results are provided in the article based on the measurements in the monostatic pursuit mode with deployed targets, conducted by TerraSAR-X and TanDEM-X in Sweden in early 2015.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022. Vol. 60, article id 5235514
Keywords [en]
Synthetic aperture radar, Radar polarimetry, Extraterrestrial measurements, Orbits, Focusing, Doppler effect, Azimuth, Change detection, ground moving target indication (GMTI), pursuit mode, synthetic aperture radar (SAR)
National Category
Remote Sensing
Identifiers
URN: urn:nbn:se:bth-23762DOI: 10.1109/TGRS.2022.3206867ISI: 000865095100004Scopus ID: 2-s2.0-85139442082OAI: oai:DiVA.org:bth-23762DiVA, id: diva2:1705202
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open access

Available from: 2022-10-21 Created: 2022-10-21 Last updated: 2022-10-21Bibliographically approved

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fulltext(7988 kB)68 downloads
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Vu, Viet ThuyPettersson, Mats

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