Segmentation Models on artificial moon imagery

In this project, I trained 4 deep learning segmentation models on an artificial Lunar Dataset to see how they will perform on real images from Nasa. For this project, I trained and tested 4 different segmentation models:

You can also dive into my code in these multiple notebooks !

Thomas Di Martino
PhD Student in AI & Remote Sensing

My research interests include deep learning technologies, automatic feature extraction and computer vision, all of them applied to Remote Sensing problematics, more precisely to Synthetic Aperture Radar (SAR) acquisitions.