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MapRepair

This repository contains the implementation for our publication "Map-Repair: Deep Cadastre Maps Alignment and Temporal Inconsistencies Fix in Satellite Images", IGARSS 2020. If you use this implementation please cite the following publication:

@inproceedings{zorzi2020map,
  title={Map-repair: Deep cadastre maps alignment and temporal inconsistencies fix in satellite images},
  author={Zorzi, Stefano and Bittner, Ksenia and Fraundorfer, Friedrich},
  booktitle={IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium},
  pages={1829--1832},
  year={2020},
  organization={IEEE}
}
<p align="center"><img width=100% src="README.gif"></p>

Explanatory video of the approach:

Watch the video

Dependencies

Running the implementation

After installing all of the required dependencies above you can download the pretrained weights from here.

Unzip the archive and place the content in the main maprepair folder. The folder saved_models contains the pretrained weights both for MapRepair and the regularization network.

Evaluation

Modify variables.py accordingly, then run the prediction issuing the command

python predict.py

Training

Modify variables.py accordingly, then run the training issuing the command

python train_net.py