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Incoherent Change Detection Methods for Wavelength-Resolution SAR Image Stacks Based on Masking Techniques
Fed Univ Pampa UNIPAMPA, BRA.
Fed Univ Pampa UNIPAMPA, BRA.
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
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2020 (English)In: 2020 IEEE National Radar Conference - Proceedings, IEEE , 2020, article id 9266431Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents two incoherent change detection methods for wavelength-resolution synthetic aperture radars (SAR) image stacks based on masking techniques. The first technique proposed is the Simple Masking Detection (SMD). This method uses the statistical behavior of pixels-sets in the image stack to create a binary mask, which is used to remove pixels that are not related to changes in a surveillance image from the same interest region. The second technique is the Multiple Concatenated Masking Detection (MCMD), which produces a more selective mask than the SMD by concatenating multiple masks from different image stacks. The MCMD can be used in specific applications where multiple stacks share common patterns of target deployments. Both proposed techniques were evaluated using 24 incoherent SAR images obtained by the CARABAS II system. The experimental results revealed that the proposed detection methods have better performance in terms of probability of detection and false alarm rate when compared with other change detection techniques, especially for high detection probabilities scenarios.

Place, publisher, year, edition, pages
IEEE , 2020. article id 9266431
Series
IEEE Radar Conference, ISSN 1097-5764
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Remote Sensing
Identifiers
URN: urn:nbn:se:bth-21155DOI: 10.1109/RadarConf2043947.2020.9266431ISI: 000612224900122Scopus ID: 2-s2.0-85098542627ISBN: 9781728189420 (print)OAI: oai:DiVA.org:bth-21155DiVA, id: diva2:1533983
Conference
IEEE Radar Conference (RadarConf), SEP 21-25, 2020, Florence, ITALY
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open access

Available from: 2021-03-04 Created: 2021-03-04 Last updated: 2021-03-17Bibliographically approved

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fulltext(1554 kB)250 downloads
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Vu, Viet ThuyPettersson, Mats

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