no code implementations • 8 Apr 2023 • Maxim Khomiakov, Michael Riis Andersen, Jes Frellsen
In geospatial planning, it is often essential to represent objects in a vectorized format, as this format easily translates to downstream tasks such as web development, graphics, or design.
no code implementations • 20 Mar 2023 • Maxim Khomiakov, Alejandro Valverde Mahou, Alba Reinders Sánchez, Jes Frellsen, Michael Riis Andersen
We present a novel pipeline for learning the conditional distribution of a building roof mesh given pixels from an aerial image, under the assumption that roof geometry follows a set of regular patterns.
no code implementations • 2 Dec 2022 • Maxim Khomiakov, Julius Holbech Radzikowski, Carl Anton Schmidt, Mathias Bonde Sørensen, Mads Andersen, Michael Riis Andersen, Jes Frellsen
The body of research on classification of solar panel arrays from aerial imagery is increasing, yet there are still not many public benchmark datasets.