6 citations · 7 across the 4 of their papers we have counts for
5 papers
PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images
Stefano Zorzi, Shabab Bazrafkan, Stefan Habenschuss +1
While most state-of-the-art instance segmentation methods produce binary segmentation masks, geographic and cartographic applications typically require precise vector polygons of e…
Machine-learned 3D Building Vectorization from Satellite Imagery
Yi Wang, Stefano Zorzi, Ksenia Bittner
We propose a machine learning based approach for automatic 3D building reconstruction and vectorization. Taking a single-channel photogrammetric digital surface model (DSM) and pan…
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…
Regularization of Building Boundaries in Satellite Images using Adversarial and Regularized Losses
Stefano Zorzi, Friedrich Fraundorfer
In this paper we present a method for building boundary refinement and regularization in satellite images using a fully convolutional neural network trained with a combination of a…
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…