Vers une nouvelle solution de cartographie des minéraux à partir d’images hyperspectrales acquises depuis un drone
|Advisor:||Daniel, Sylvie; Chokmani, Karem|
|Abstract:||Nowadays, unmanned aerial systems have become a new trend in the field of civilian remote sensing. These systems allow overcoming several shortcomings of conventional platforms. The hyperspectral sensors mounted on this type of platform are amongst the up and coming solutions that provide new opportunities for mapping land surface. This solution is characterized by the acquisition of data at very high spectral, spatial and temporal resolutions. The present work aims to advance knowledge about mineral mapping using images acquired with this solution. It particularly addresses issues related to the distortions of the data acquired from such a system and methods to correct them. It also focused on the conception of a classification method that is suited to the characteristics of these data particularly in terms of large volume and high spatial resolution.|
|Document Type:||Mémoire de maîtrise|
|Open Access Date:||23 April 2018|
|Collection:||Thèses et mémoires|
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