Internship M2

Internship opportunity for Master 2

Internship subject: New tools for hyperspectral imaging: agro-environmental applications

Objectives :

The purpose of the internship is to explore new methods for the processing of hyperspectral images, especially for the evaluation of foliage material in the context of phenotyping and phytopathology. These new methods are based on covariance matrix type features, described by mixture models. It consists in exploiting jointly the spatial and spectral features of this type of data to perform unsupervised segmentation.

>> https://jobs.inrae.fr/ot-16653 (only in french)

Key-word:

Hyperspectral, unsupervised segmentation, clustering, Bayesian statistics, Riemannian manifold,

Modification date : 17 July 2023 | Publication date : 22 November 2022 | Redactor : DH