 |
ECOLE SUPÉRIEURE D'ÉLECTRICITÉ Une grande école d'ingénieurs au cœur des sciences de l'information,de l'énergie et des systèmes |
 |
Conference papers
Performance Analysis of Robust Detectors for Hyperspectral Imaging
Abstract : When accounting for heterogeneity and non-Gaussianity of real hyperspectral data, elliptical distributions provide reliable models for background characterization. Through these assumptions, this paper highlights the fact that robust estimation procedures are an interesting alternative to classical methods and can bring some great improvement to the detection process. The goal of this paper is then not only to recall well-known methodologies of target detection but also to propose ways to extend them for taking into account the heterogeneity and non-Gaussianity of the hyperspectral images.
https://hal-supelec.archives-ouvertes.fr/hal-00934285
Contributor : Anne-Hélène Picot Connect in order to contact the contributor
Submitted on : Friday, June 4, 2021 - 8:54:42 PM
Last modification on : Wednesday, October 20, 2021 - 3:33:57 AM
Long-term archiving on: : Sunday, September 5, 2021 - 9:07:09 PM
Contributor : Anne-Hélène Picot Connect in order to contact the contributor
Submitted on : Friday, June 4, 2021 - 8:54:42 PM
Last modification on : Wednesday, October 20, 2021 - 3:33:57 AM
Long-term archiving on: : Sunday, September 5, 2021 - 9:07:09 PM
File
JFP2013.pdf
Files produced by the author(s)