Satellite Image Segmentation Using Deep Learning for Deforestation Detection

The problem of automatic monitoring the deforestation process is considered for efficient prevention of illegal deforestation. Image segmentation model on the basis of U-Net family of deep neural networks (DNNs) was created. The forest/deforestation dataset was collected by parsing areas of Ukrainian forestries, where satellite images of 512×512 pixels contain areas with forest, deforestation, and...