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