Update README.md

README.md

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 ## Uses
-The model was specifically trained for the **semantic segmentation of aerial lidar point clouds from the Lidar HD program (2020-2025)**.
+The model was specifically trained for the **semantic segmentation of aerial lidar point clouds from the [Lidar HD program (2020-2025)](https://geoservices.ign.fr/lidarhd)**.
 
 **_Aerial Lidar scene understanding_**: the model is designed for the segmentation of aerial lidar point clouds into 7 classes: other | ground | vegetation | building | water | bridge | permanent structure.
 While the model could be applied to other types of point clouds (mobile, terrestrial), aerial lidar scanning has specific geometric specifications (occlusions, homogeneous densities, variable scanner angle...).