Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Land Use Classification Using Multi-neighborhood LBPs   In this paper we propose the use of multiple local binary patterns(LBPs) to
effectively classify land use images. We use the UC Merced 21 class land use
image dataset. Task is challenging for classification as the dataset contains
intra class variability and inter class similarities. Our proposed method of
using multi-neighborhood LBPs combined with nearest neighbor classifier is able
to achieve an accuracy of 77.76%. Further class wise analysis is conducted and
suitable suggestion are made for further improvements to classification
accuracy.

34
The categories of this paper are: chem-ph
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
18
The categories of this paper are: econ
21
The categories of this paper are: adap-org
7
The categories of this paper are: hep-th
36
The categories of this paper are: cmp-lg
12
The categories of this paper are: nucl-th
32
The categories of this paper are: atom-ph
14
The categories of this paper are: math-ph
24
The categories of this paper are: dg-ga
3
The categories of this paper are: physics
35
The categories of this paper are: mtrl-th
30
The categories of this paper are: q-alg
10
The categories of this paper are: q-bio