BERMUDEZ , José

Multiple Endmember Spectral Mixture Analysis (MESMA) is one of the leading approaches to perform spectral unmixing (SU) considering variability of the endmembers (EMs). It represents each EM in the image using libraries of spectral signatures acquired a priori. However, existing spectral libraries are often small and unable to properly capture...

The automatic detection of changes or anomalies between multispectral and hyperspectral images collected at different time instants is an active and challenging research topic. To effectively perform change-point detection in multitemporal images, it is important to devise techniques that are computationally efficient for processing large...

Coupled tensor approximation has recently emerged as a promising approach for the fusion of hyperspectral and multispectral images, reconciling state of the art performance with strong theoretical guarantees. However, tensor-based approaches previously proposed assume that the different observed images are acquired under exactly the same...

Nous proposons une solution conjointe aux problèmes de super-résolution et de démélange de l'image super-résolue. Cette approche utilise la décomposition tensorielle LL1 et tient compte d'un phénomène de variabilité spectrale. Des garanties théoriques de reconstruction sont fournies. Nous proposons un algorithme sous contraintes de positivité,...