Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Implementation and comparative quantitative assessment of different
  multispectral image pansharpening approches   In remote sensing, images acquired by various earth observation satellites
tend to have either a high spatial and low spectral resolution or vice versa.
Pansharpening is a technique which aims to improve spatial resolution of
multispectral image. The challenges involve in the pansharpening are not only
to improve the spatial resolution but also to preserve spectral quality of the
multispectral image. In this paper, various pansharpening algorithms are
discussed and classified based on approaches they have adopted. Using MATLAB
image processing toolbox, several state-of-art pan-sharpening algorithms are
implemented. Quality of pansharpened images are assessed visually and
quantitatively. Correlation coefficient (CC), Root mean square error (RMSE),
Relative average spectral error (RASE) and Universal quality index (Q) indices
are used to easure spectral quality while to spatial-CC (SCC) quantitative
parameter is used for spatial quality measurement. Finally, the paper is
concluded with useful remarks.

16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
19
The categories of this paper are: eess
12
The categories of this paper are: nucl-th
15
The categories of this paper are: nucl-ex
31
The categories of this paper are: ao-sci
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
7
The categories of this paper are: hep-th