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UNSUPERVISED AUTOMATIC TARGET DETECTION FOR MULTITEMPORAL SAR IMAGES BASED ON ADAPTIVE K-MEANS ALGORITHM
Blekinge Institute of Technology, Faculty of Computing. Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
Aeronaut Inst Technol, ITA.
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)Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present an unsupervised automatic target detection algorithm for multitemporal SAR images. The proposed two-fold method is expected to reduce processing time for large scene sizes with sparse targets while still improving detection performance. Firstly, pixel blocks are extracted from an initial change map to reduce the algorithm's search space and favor target detection. Secondly, an adaptive k-means algorithm selects the number of clusters that better separates targets from false alarms, which are discarded. Preliminary results show the advantages of the proposed method in processing time and detection performance over a recently proposed supervised method for the CARABAS-II dataset.

Place, publisher, year, edition, pages
IEEE, 2020. p. 328-331
Series
IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Keywords [en]
Automatic target detection, CARABAS-II, k-means, SAR images, unsupervised change detection
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-22094DOI: 10.1109/IGARSS39084.2020.9324678ISI: 000664335300079ISBN: 978-1-7281-6374-1 (print)OAI: oai:DiVA.org:bth-22094DiVA, id: diva2:1590703
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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Campos, Alexandre BeckerVu, Viet ThuyPettersson, Mats

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