| Issue |
A&A
Volume 708, April 2026
|
|
|---|---|---|
| Article Number | L3 | |
| Number of page(s) | 9 | |
| Section | Letters to the Editor | |
| DOI | https://doi.org/10.1051/0004-6361/202558121 | |
| Published online | 26 March 2026 | |
Letter to the Editor
Fusion of JWST data: Demonstrating practical feasibility
1
Institut de Recherche en Astrophysique et Planétologie, Université de Toulouse, CNRS, CNES, 31028 Toulouse, France
2
Institut Supérieur de l’Aéronautique et de l’Espace ISAE-SUPAERO, Université de Toulouse, 31055 Toulouse, France
3
Laboratoire d’Informatique Signal et Image de la Côte d’Opale, Université du Littoral Côte d’Opale, 62228 Calais, France
4
Institut de Recherche en Informatique de Toulouse, Université de Toulouse, CNRS, Toulouse INP, 31400 Toulouse, France
★ Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
14
November
2025
Accepted:
23
February
2026
Abstract
Data fusion is a computational process widely used in Earth observation to generate high-resolution hyperspectral data cubes with two spatial and one spectral dimensions. It merges data from instruments with complementary characteristics: one with low spatial but high spectral resolutions, and another with high spatial but low spectral resolutions. In astronomy, the use of such instrumental combinations is becoming increasingly common, making data fusion a promising approach for enhancing observational data. Until now, however, its application to astronomical data has remained unsuccessful. We present the first successful astronomical data fusion using JWST integral field spectroscopy with NIRSpec and imaging across 29 filters with NIRCam. Applied to observations of the d203-506 protoplanetary disk in Orion and of Titan, our method produces fused hyperspectral cubes with NIRCam spatial and NIRSpec spectral resolutions. These results pave the way for extracting the physical properties from JWST data with unprecedented spatial resolution and showcase the transformative potential of data fusion in astronomy.
Key words: methods: data analysis / methods: numerical / techniques: image processing
© The Authors 2026
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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