This repository is the code of "A Unified Deep Learning Framework for Urban Functional Zone Extraction Based on Multi-source Heterogeneous Data"
- Pytorch
- TorchVision
- osgeo
- numpy
The models are in file "models.py". There are two essential classes in the file. the complementary_fusion
and the spatial_information_modeling
.
This two classes is corresponding to two parts in our paper.
The file contains the function of creating distance heatmap (creat_distance_heatmap
). The inputs are
- a raster imagery with geoinformation, which implies the processing extend,
- a file contains POIs,
- the output root, and
- a zooming scale (default 10). You can also create the distance heatmap by ArcGIS (in ArcToolbox/Spatial Analyst Tools/Distance/Euclidean Distance)
If you need any technical support, never hesitate to contact us via [email protected].