Satellite observations provide critical data for a myriad of applications, but automated information
extraction from such vast datasets remains challenging. While artificial intelligence (AI), …

Training a deep learning model requires highly variable data to permit reasonable generalization.
If the variability in the data about to be processed is low, the interest in obtaining this …

Gossans are surficial deposits that form in host bedrock by the alteration of sulphides by
acidic and oxidizing fluids. These deposits are typically a few meters to kilometers in size and …

Digital twins are becoming increasingly popular in society for performing simulations. However,
to conduct simulations, it is necessary to extract information about the objects composing …

Digital twins are increasingly gaining popularity as a method for simulating intricate natural
and urban environments, with the precise segmentation of 3D objects playing an important …

Accurate and up-to-date land cover (LC) maps are critical for informed decision-making and
resource management. While global products may not include region-specific classes or …

Digital twins are gaining in popularity for simulating complex natural and urban environments.
In this context, accurate segmentation of objects within 3D urban environments is of …

In this study, Hapke's radiative transfer model is used to verify the feasibility of retrieving the
composition and grain-size of the ground in an open-pit mine, seen as a regolith. Such a tool …

… le chercheur postdoctoral �tienne Clabaut, d’avoir accept� d’�tre mon sous-directeur de
projet alors que l’essai �tait d�j� compl�t�. Gr�ce � ses relectures, Mr Clabaut a pu partager …

… Je remercie mes coll�gues de l'UdeS Kevin Siebel, Etienne Clabaut et Javier Garcia
avec lesquels j'ai collabor� et travaill� sur le projet et notamment sur la mise en place de la …