Figure 3
From: A new strategy to map landslides with a generalized convolutional neural network
Result of applying the trained CNN model (\(M_{6}^{ALL}\)) on the testing region of study area “A” to “D”. Every row shows a fixed view from one study area with pre-event image (left), post-event image with polygons from landslide inventory (middle), and output from CNN as a confusion matrix map (right). The majority resampling method was used to visualize the confusion matrix map. The cloud and snow-cover masks have not been shown for clarity, but the affected region was not used in the training and prediction process. The maps were created using ArcGIS Pro v2.4 (https://www.esri.com/).
