Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Using Satellite Imagery for Good: Detecting Communities in Desert and
  Mapping Vaccination Activities   Deep convolutional neural networks (CNNs) have outperformed existing object
recognition and detection algorithms. On the other hand satellite imagery
captures scenes that are diverse. This paper describes a deep learning approach
that analyzes a geo referenced satellite image and efficiently detects built
structures in it. A Fully Convolution Network (FCN) is trained on low
resolution Google earth satellite imagery in order to achieve end result. The
detected built communities are then correlated with the vaccination activity
that has furnished some useful statistics.

16
The categories of this paper are: stat
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
13
The categories of this paper are: quant-ph
26
The categories of this paper are: bayes-an
33
The categories of this paper are: plasm-ph
29
The categories of this paper are: funct-an
25
The categories of this paper are: patt-sol
36
The categories of this paper are: cmp-lg
31
The categories of this paper are: ao-sci
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
27
The categories of this paper are: comp-gas