Research output per year
Research output per year
PhD student
Øster Voldgade 10
1350 København K
Research activity per year
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.
Deep learning, remote sensing
Research output: Book/Report › Ph.D. thesis
Research output: Contribution to journal › Journal article › Research › peer-review
Research output: Contribution to journal › Journal article › Research › peer-review
Research output: Contribution to journal › Journal article › Research › peer-review
Research output: Contribution to journal › Journal article › Research › peer-review
Research output: Book/Report › Report › Commissioned › peer-review
Research output: Contribution to journal › Journal article › Research › peer-review
Research output: Contribution to journal › Journal article › Research › peer-review