Fig. 3
From: Using spatial video and deep learning for automated mapping of ground-level context in relief camps
Automated mapping workflow. The first task of the workflow is image extraction, followed by the training phase, which involves image labeling and model training. The prediction results from the trained model are used as the input to the mapping phase, which is then used to generate the final raster map after spatial filtering