Øster Voldgade 10, 1350 København K, 06 Område VI, Building: 06-2-619
Primary fields of research
I work in the interdisciplinary field of deep learning and remote sensing and I am interested in applying advanced neural networks to popular remote sensing problems, including intelligent forest management and carbon stock estimation. Development and adaptation of deep learning methods are the main focuses of my studies.
An automatic and scalable tree inventory framework based on UNet, enabling individual crown segmentation, tree counting, and tree height estimation at the country scale.
Fields of interest
Deep learning, remote sensing