Crop Type Classification based on Machine Learning with Multitemporal Sentinel-1 Data

    Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

    3 Citations (Scopus)
    Original languageEnglish
    Title of host publication2020 23rd Euromicro Conference on Digital System Design (DSD)
    EditorsAndrej Trost, Andrej Zemva, Amund Skavhaug
    Number of pages8
    Place of publicationKranj
    PublisherIEEE
    Publication dateAug 2020
    Pages557-564
    ISBN (Print)978-1-7281-9536-0
    ISBN (Electronic)978-1-7281-9535-3
    DOIs
    Publication statusPublished - Aug 2020
    Event23rd Euromicro Conference on Digital System Design, DSD 2020 - Kranj, Slovenia
    Duration: 26 Aug 202028 Aug 2020

    Conference

    Conference23rd Euromicro Conference on Digital System Design, DSD 2020
    Country/TerritorySlovenia
    CityKranj
    Period26/08/202028/08/2020

    Fingerprint

    Dive into the research topics of 'Crop Type Classification based on Machine Learning with Multitemporal Sentinel-1 Data'. Together they form a unique fingerprint.

    Cite this