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UNSUPERVISED AUTOMA...
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Campos, Alexandre Becker,1997-Blekinge Tekniska Högskola,Fakulteten för datavetenskaper,Institutionen för matematik och naturvetenskap
(author)
UNSUPERVISED AUTOMATIC TARGET DETECTION FOR MULTITEMPORAL SAR IMAGES BASED ON ADAPTIVE K-MEANS ALGORITHM
- Article/chapterEnglish2020
Publisher, publication year, extent ...
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IEEE,2020
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printrdacarrier
Numbers
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LIBRIS-ID:oai:DiVA.org:bth-22094
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https://urn.kb.se/resolve?urn=urn:nbn:se:bth-22094URI
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https://doi.org/10.1109/IGARSS39084.2020.9324678DOI
Supplementary language notes
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Language:English
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Summary in:English
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Classification
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Subject category:ref swepub-contenttype
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Subject category:kon swepub-publicationtype
Series
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IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
Notes
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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.
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Molin, RicardoAeronaut Inst Technol, ITA
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Vu, Viet Thuy,1977-Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap(Swepub:bth)vtv
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Pettersson, Mats,1966-Blekinge Tekniska Högskola,Institutionen för matematik och naturvetenskap(Swepub:bth)mtp
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Machado, RenatoAeronaut Inst Technol, ITA
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Blekinge Tekniska HögskolaFakulteten för datavetenskaper
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