Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Detecting Burnscar from Hyperspectral Imagery via Sparse Representation
  with Low-Rank Interference   In this paper, we propose a burnscar detection model for hyperspectral
imaging (HSI) data. The proposed model contains two-processing steps in which
the first step separate and then suppress the cloud information presenting in
the data set using an RPCA algorithm and the second step detect the burnscar
area in the low-rank component output of the first step. Experiments are
conducted on the public MODIS dataset available at NASA official website.

36
The categories of this paper are: cmp-lg
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
32
The categories of this paper are: atom-ph
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
33
The categories of this paper are: plasm-ph
3
The categories of this paper are: physics
0
The categories of this paper are: hep-ph
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
14
The categories of this paper are: math-ph
20
The categories of this paper are: acc-phys
2
The categories of this paper are: math