Satellite Image Semantic Segmentation

1 code implementation • 12 Oct 2021 • Eric Guérin, Killian Oechslin, Christian Wolf, Benoît Martinez

In this paper, we propose a method for the automatic semantic segmentation of satellite images into six classes (sparse forest, dense forest, moor, herbaceous formation, building, and road).

2D Semantic Segmentation Segmentation +1