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EXPERIMENTAL RESULTS ON CHANGE DETECTION BASED ON BAYES PROBABILITY THEOREM
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
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.ORCID iD: 0000-0003-3945-8951
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2015 (English)In: 2015 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), IEEE Communications Society, 2015, p. 318-321Conference paper, Published paper (Refereed)
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Text
Abstract [en]

In this paper we propose a new change detection (CD) algorithm based on the Bayes theorem and probability assignments. Differently from any kind of likelihood ratio test (LRT) algorithms, the proposed algorithm does not present target alarms, but the probability of certain image position is a target position. In other words, the proposed method leads to quantitative estimates on the probability of a target at any pixel, whereas LRT algorithms can only be used as a figure of merit for any pixel to contain a target.

Place, publisher, year, edition, pages
IEEE Communications Society, 2015. p. 318-321
Series
IEEE International Symposium on Geoscience and Remote Sensing IGARSS, ISSN 2153-6996
Keywords [en]
Change detection; CARABAS; Bayes Theorem; SAR
National Category
Communication Systems Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:bth-11857ISI: 000371696700082ISBN: 978-1-4799-7929-5 (print)OAI: oai:DiVA.org:bth-11857DiVA, id: diva2:925364
Conference
IEEE International Geoscience and Remote Sensing Symposium (IGARSS), JUL 26-31, 2015, Milan, ITALY
Available from: 2016-05-02 Created: 2016-05-02 Last updated: 2021-03-26Bibliographically approved

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Machado, RenatoPettersson, Mats I.Vu, Viet Thuy

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CiteExportLink to record
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Citation style
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  • de-DE
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Output format
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