IDEAS home Printed from https://ideas.repec.org/a/zbw/wistat/316331.html
   My bibliography  Save this article

Neuronale Netze in der Baustatistik: Automatisiertes Erkennen von Baustellen anhand von Luftbildern

Author

Listed:
  • Stäger, Elena

Abstract

Können Methoden der Künstlichen Intelligenz helfen, Baustellenaktivitäten in Nordrhein-Westfalen zu erfassen und somit mehr Informationen über das dortige Baugeschehen zu erhalten? Der Artikel untersucht ob es möglich ist, einen Datensatz zu erstellen, um einen Algorithmus zu trainieren, der Baustellen in unbekannten Bildern erkennen und die Vollständigkeit der gemeldeten Bauvorhaben überprüfen kann. Nach einer kurzen Einordnung der Baustatistik beschreibt der Beitrag die Erfassung und Verarbeitung von Bilddaten sowie die Implementierung von Convolutional Neural Networks zur Bildanalyse.

Suggested Citation

  • Stäger, Elena, 2025. "Neuronale Netze in der Baustatistik: Automatisiertes Erkennen von Baustellen anhand von Luftbildern," WISTA – Wirtschaft und Statistik, Statistisches Bundesamt (Destatis), Wiesbaden, vol. 77(2), pages 136-147.
    • Handle: RePEc:zbw:wistat:316331
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/316331/1/1923621246.pdf
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:wistat:316331. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/stagvde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.