Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Spatio-temporal crop classification of low-resolution satellite imagery
  with capsule layers and distributed attention   Land use classification of low resolution spatial imagery is one of the most
extensively researched fields in remote sensing. Despite significant
advancements in satellite technology, high resolution imagery lacks global
coverage and can be prohibitively expensive to procure for extended time
periods. Accurately classifying land use change without high resolution imagery
offers the potential to monitor vital aspects of global development agenda
including climate smart agriculture, drought resistant crops, and sustainable
land management. Utilizing a combination of capsule layers and long-short term
memory layers with distributed attention, the present paper achieves
state-of-the-art accuracy on temporal crop type classification at a 30x30m
resolution with Sentinel 2 imagery.

21
The categories of this paper are: adap-org
13
The categories of this paper are: quant-ph
7
The categories of this paper are: hep-th
32
The categories of this paper are: atom-ph
5
The categories of this paper are: gr-qc
9
The categories of this paper are: nlin
26
The categories of this paper are: bayes-an
2
The categories of this paper are: math
28
The categories of this paper are: alg-geom
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
19
The categories of this paper are: eess
23
The categories of this paper are: solv-int
18
The categories of this paper are: econ
12
The categories of this paper are: nucl-th