Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An approximate message passing approach for compressive hyperspectral
  imaging using a simultaneous low-rank and joint-sparsity prior   This paper considers a compressive sensing (CS) approach for hyperspectral
data acquisition, which results in a practical compression ratio substantially
higher than the state-of-the-art. Applying simultaneous low-rank and
joint-sparse (L&S) model to the hyperspectral data, we propose a novel
algorithm to joint reconstruction of hyperspectral data based on loopy belief
propagation that enables the exploitation of both structured sparsity and
amplitude correlations in the data. Experimental results with real
hyperspectral datasets demonstrate that the proposed algorithm outperforms the
state-of-the-art CS-based solutions with substantial reductions in
reconstruction error.

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The categories of this paper are: hep-ph
28
The categories of this paper are: alg-geom
3
The categories of this paper are: physics
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
17
The categories of this paper are: q-fin
27
The categories of this paper are: comp-gas
37
The categories of this paper are: supr-con
35
The categories of this paper are: mtrl-th
12
The categories of this paper are: nucl-th
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg