Skip to Main content Skip to Navigation
Conference papers

Fusion of hyperspectral and multispectral infrared astronomical images

Abstract : This paper presents a data fusion method dedicated to high dimensional astronomical imaging. The fusion process reconstructs a high spatio-spectral resolution datacube, taking advantage of a multispectral observation image with high spatial resolution and a hyperspectral image with high spectral resolution. We define a regularized inverse problem accounting for the specificities of the astronomical observation instruments, in particular spectrally variant blurs. To handle convolution operators as well as the high dimensionality of the data, the problem is solved in the frequency domain and in a low-dimensional subspace. The fusion model is evaluated on simulated observations of the Orion Bar and shows excellent spatial and spectral reconstructions of the observed scene.
Document type :
Conference papers
Complete list of metadata

Cited literature [29 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02879718
Contributor : Open Archive Toulouse Archive Ouverte (oatao) <>
Submitted on : Wednesday, June 24, 2020 - 10:58:47 AM
Last modification on : Wednesday, June 9, 2021 - 10:00:28 AM

File

guilloteau_26428.pdf
Files produced by the author(s)

Identifiers

Citation

Claire Guilloteau, Thomas Oberlin, Olivier Berné, Nicolas Dobigeon. Fusion of hyperspectral and multispectral infrared astronomical images. 11th IEEE Workshop on Sensor Array and Multichannel Signal Processing (SAM 2020), IEEE, Jun 2020, Hangzhou, China. pp.1-5, ⟨10.1109/SAM48682.2020.9104393⟩. ⟨hal-02879718⟩

Share

Metrics

Record views

148

Files downloads

195