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A data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results

  1. CREPC201702 CREPC201703 CREPC201706
    Title statementA data mining approach for multivariate outlier detection in heterogeneous 2D point clouds: An application to post-processing of multi-temporal InSAR results
    Main entry-name (Author) Bakoň, Matúš, 1987- - SvF Katedra geodetických základov
    Another responsib. (Author) Oliveira, Irena
    (Author) Perissin, Daniele
    (Author) Sousa, Joaquim J.
    (Author) Papčo, Juraj, 1978- Z2 - SvF Katedra geodetických základov
    Translated titleDetekcia extrémnych vybočení v 2D mračnách bodov s využitím "data minig" prístupu: aplikácia na výsledky multičasovej radarovej interferometrie MT-InSAR
    In IGARSS 2016 - Advancing the Understanding of our Living Planet [7725 s.] / IEEE International Geoscience & Remote Sensing Symposium. -- New York, : IEEE - Institute of Electrical and Electronics Engineers, 2016. -- ISBN 978-1-5090-3332-4. -- S. 56-59
    Subj. Headings InSAR
    detekcia chýb
    data mining
    radar interferometry
    monitoring zosuvov
    outlier
    LanguageEnglish
    Document kindRZB - článok zo zborníka
    CategoryAFC - Reports at international scientific conferences
    Category (from 2022)V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka
    Year2016
    article

    article

Number of the records: 1  

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