You can use this model in the Detect Objects Using Deep Learning tool available in the Image Analyst toolbox for inference or the Extract Features Using AI Models tool available in the GeoAI toolbox in ArcGIS Pro for inference and postprocessing of the inferred results. Follow the steps below to use the model to extract building footprints from high resolution imagery.
Supported imagery
Orthorectified imagery (on-the-fly or persisted ortho products) with the following characteristics is supported:
- Resolution—High resolution (15–25 centimeters)
- Bit depth—8 Bit Unsigned
- Bands—Three bands (for example, red, green, and blue)
Note:
Off-nadir imagery or imagery with a high obliquity angle will not produce suitable results.
Extract building footprints
Complete the following steps to extract building footprints from the imagery:
- Download the Building Footprint Extraction—China model and add the imagery layer in ArcGIS Pro.
- Zoom to an area of interest.
- Click Tools on the Analysis tab.
- Click the Toolboxes tab in the Geoprocessing pane, expand GeoAI Tools, and select the Extract Features Using AI Models tool under Imagery AI.
- On the Parameters tab, set the parameters as follows:
- Input Raster—Choose the input raster on which processing will be performed.
- Area of Interest(optional) — Set the geographical extent that will be used to extract features. Only features within the area of interest will be extracted.
- Mode—Select Infer and Postprocess.
- Output Location (optional) — Select the file geodatabase where the outputs will be stored.
- Output Prefix— A prefix that will be added to the name of outputs and name of group layer.
- Models— Select the pretrained model.
- Set Pretrained Models— Select the BUILDING FOOTPRINT EXTRACTION - China pretrained model from the drop down list.
- Set Polygon Regularization Options—Polygon Postprocessing is the default postprocesing option for this model.
- Regularization Method— Use the default Regularization Method. Select the default option Right Angles.
- Tolerance—Use 2 meters.
- On the Environments tab, set the values as follows:
- Processor Type—Set GPU ID to the GPU to be used.
- Click Run.
As soon as processing finishes, the output group layer with postprocessed building footprints is added to the map.