6 citations · 6 across the 4 of their papers we have counts for
3 papers · 1 filter
Map-Repair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images
Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer
In the fast developing countries it is hard to trace new buildings construction or old structures destruction and, as a result, to keep the up-to-date cadastre maps. Moreover, due…
Machine-learned Regularization and Polygonization of Building Segmentation Masks
Stefano Zorzi, Ksenia Bittner, Friedrich Fraundorfer
We propose a machine learning based approach for automatic regularization and polygonization of building segmentation masks. Taking an image as input, we first predict building seg…
A Generalized Multi-Task Learning Approach to Stereo DSM Filtering in Urban Areas
Lukas Liebel, Ksenia Bittner, Marco Körner
City models and height maps of urban areas serve as a valuable data source for numerous applications, such as disaster management or city planning. While this information is not gl…