Applied Deep Learning and data fusion to improve elevation data with satellite imagery at 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.


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 to see our work

Attention: Often you need a pre-approval from your university or study counsellor, to be sure that projects or thesis found on Cphbusiness Career can be accepted as part of your education. Please contact the right entity in due time to ensure that you're picking the right project.