Submission to IEEE Trans. on Image Proc.
We submit a full paper about fast algorithm for Hyperspectral and Multispectral Fusion at IEEE Trans. on Image Processing.
The SIDISO (Spectral Imaging for DIffraction limited Space Observation) aims to develop new and original data processing methods and algorithms for space observation. It’s a collaboration between L2S and IAS. F. Orieux, within L2S, is the PI of research and development on novel data processing and algorithms. More details here.
We submit a full paper about fast algorithm for Hyperspectral and Multispectral Fusion at IEEE Trans. on Image Processing.
Our communication at the workshop “Improving JWST Data Products” at Baltimore, USA, as been accepted. We will present a poster on the futur pipeline “luigiz”...
The publication of Dan Pineau entitled “Exact Solution for Multispectral and Hyperspectral Fusion via Hessian Inversion” has been accepted to WHISPERS 2023 a...
After hard work, the SIDISO project is proud to produce the first data processing of the projet from the JWST data. The images have been produced by luigiz ...
The SIDISO website is online !