Pixel-level classification model for Sentinel-2 images based on processed images (bands 1,2,3,4 - labels 1,2,3)
Pixel-level classification model, using the pixel-level classification bootstrapping service of AI4Copernicus project
Main Characteristic
Pixel-level classification model that analyzes Sentinel-2 images, uses the bands B1, B2, B3 & B4 and generates an output TIFF image with the produced labels.
The classifier aims to identify the existence of natural areas, urban areas and beaches in an area.
The model is trained using the "Deep network for pixel-level classification of S2 patches" service from the AI4Copernicus project.
Business Categories
Earth Observation
Last updated
30.11.2023 - 13:42