USING ARTIFICIAL INTELLIGENCE FOR SEGMENTATION OF SATELLITE IMAGES

The key role of satellite remote sensing systems is to obtain high-quality data for monitoring and studying various processes.The use of combined data from the Sentinel mission satellites and airborne laser scanning (ALS) for automated image segmentation with the application of neural networks highlights the potential of artificial intelligence integration to enhance the efficiency of Earth remote sensing and address a wide range of tasks.Experimental studies using DeepLabV3 and Unet models demonstrated high segmentation accuracy results.