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@@ -30,8 +30,8 @@ and very high resolution multispectral imagery with **semantic
 segmentation** on a very a fine scale! Earlier, I did my [Ph.D.
 thesis][thesis] in [LETG Rennes][letg] and [IRISA's OBELIX
 team][obelix]. The topic was to propose new and efficient ways of
-processing **3D point clouds** from **LiDAR data**, using **mathematical
-morphology** and deep learning.
+processing **3D point clouds** from **LiDAR data**, using
+**morphological hierarchies** and deep learning.
 
 I am currently looking for new adventures!
 
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