• Projektperiode/ Project period:
    22.01.2021 - 22.06.2021

    Ansøgningsfrist/ Application deadline:
    22 Dec 2020

    Tilføjet/ Added:
    22.09.2020

    Applied Deep Learning and data fusion to improve elevation data with satellite imagery hos DHI

    Alle typer/All Types

    Applied Deep Learning and data fusion to improve elevation data with satellite imagery hos DHI

    Project purpose and content: Develop a new data product based on the combination of two data sources. One is a coarse elevation model, which was measured from the space shuttle, detailing the surface of the earth + LiDAR DEM data. The other is a set of satellite images of the earth. By combining these two data sources, through a deep learning model, an enhanced dataset will be created. In this project, real world application of deep learning is central and a wide range of data sources will be used as input and training data. Skills: Deep learning experience and Python programming are central to succeed in this project. About us DHI GRAS is working with innovative solutions within Satellite Earth Observation. Make sure to visit www.dhi-gras.com to see our work


    Kontakt/Contact

    Kontaktperson/Contact person: N/A,
    E-mail: https://karriere.ku.dk/da/project/35789333/13
    Telefon/Phone number: N/A

    Kontaktperson hos DIKU/Contact person at DIKU: ,
    E-mail:
    Telefon/Phone number: N/A


    Firmaoplysninger/Company information

    Navn/Name: DHI
    Adresse/Adress: Agern Alle 5
    Hjemmeside/Webside: https://worldwide.dhigroup.com/dk
    Telefon/Phone number:
    E-mail: