Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Hyperspectral and multispectral image fusion under spectrally varying
  spatial blurs -- Application to high dimensional infrared astronomical
  imaging   Hyperspectral imaging has become a significant source of valuable data for
astronomers over the past decades. Current instrumental and observing time
constraints allow direct acquisition of multispectral images, with high spatial
but low spectral resolution, and hyperspectral images, with low spatial but
high spectral resolution. To enhance scientific interpretation of the data, we
propose a data fusion method which combines the benefits of each image to
recover a high spatio-spectral resolution datacube. The proposed inverse
problem accounts for the specificities of astronomical instruments, such as
spectrally variant blurs. We provide a fast implementation by solving the
problem in the frequency domain and in a low-dimensional subspace to
efficiently handle the convolution operators as well as the high dimensionality
of the data. We conduct experiments on a realistic synthetic dataset of
simulated observation of the upcoming James Webb Space Telescope, and we show
that our fusion algorithm outperforms state-of-the-art methods commonly used in
remote sensing for Earth observation.

16
The categories of this paper are: stat
7
The categories of this paper are: hep-th
22
The categories of this paper are: chao-dyn
30
The categories of this paper are: q-alg
15
The categories of this paper are: nucl-ex
12
The categories of this paper are: nucl-th
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
2
The categories of this paper are: math
37
The categories of this paper are: supr-con
26
The categories of this paper are: bayes-an
21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
11
The categories of this paper are: hep-lat
25
The categories of this paper are: patt-sol
5
The categories of this paper are: gr-qc