Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The Application of Convolutional Neural Networks for Tomographic
  Reconstruction of Hyperspectral Images   A novel method, utilizing convolutional neural networks (CNNs), is proposed
to reconstruct hyperspectral cubes from computed tomography imaging
spectrometer (CTIS) images. Current reconstruction algorithms are usually
subject to long reconstruction times and mediocre precision in cases of a large
number of spectral channels. The constructed CNNs deliver higher precision and
shorter reconstruction time than a sparse expectation maximization algorithm.
In addition, the network can handle two different types of real-world images at
the same time -- specifically ColorChecker and carrot spectral images are
considered. This work paves the way toward real-time reconstruction of
hyperspectral cubes from CTIS images.

33
The categories of this paper are: plasm-ph
7
The categories of this paper are: hep-th
35
The categories of this paper are: mtrl-th
16
The categories of this paper are: stat
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
10
The categories of this paper are: q-bio
18
The categories of this paper are: econ
17
The categories of this paper are: q-fin
9
The categories of this paper are: nlin
23
The categories of this paper are: solv-int
0
The categories of this paper are: hep-ph
11
The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn