Skip to Main content Skip to Navigation
New interface
Conference papers

Reconstruction hyperspectraleà haute résolutionà partir de mesures de spectrometrie

Abstract : We present in this work reconstruction of a 3D hyperspectral cube from 2D spectrometer data. In fact, the observed cube with two spatial dimensions $(\alpha,\beta)$ and one spectral dimension $\lambda$ is projected on a 2D detector with one spatial dimension and one spectral dimension. However, the instrument is not perfect and introduces a spatial blurring and a spectral blurring, spectrally variable. An algorithm based on the least square approach with convex Huber regularization is proposed to reconstruct the original 3D cube while inverting the blurring introduced by the instrument.
Complete list of metadata

Cited literature [11 references]  Display  Hide  Download
Contributor : François Orieux Connect in order to contact the contributor
Submitted on : Friday, March 6, 2020 - 2:16:43 PM
Last modification on : Monday, October 17, 2022 - 1:32:41 PM
Long-term archiving on: : Sunday, June 7, 2020 - 2:34:03 PM


Files produced by the author(s)


  • HAL Id : hal-02500952, version 1


Ralph Abi Rizk, François Orieux, Alain Abergel. Reconstruction hyperspectraleà haute résolutionà partir de mesures de spectrometrie. 27eme Colloque GRETSI Traitement du Signal & des Images, GRETSI 2019, Aug 2019, Lille, France. ⟨hal-02500952⟩



Record views


Files downloads