Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Road Network Reconstruction from Satellite Images with Machine Learning
  Supported by Topological Methods   Automatic Extraction of road network from satellite images is a goal that can
benefit and even enable new technologies. Methods that combine machine learning
(ML) and computer vision have been proposed in recent years which make the task
semi-automatic by requiring the user to provide curated training samples. The
process can be fully automatized if training samples can be produced
algorithmically. Of course, this requires a robust algorithm that can
reconstruct the road networks from satellite images reliably so that the output
can be fed as training samples. In this work, we develop such a technique by
infusing a persistence-guided discrete Morse based graph reconstruction
algorithm into ML framework.
  We elucidate our contributions in two phases. First, in a semi-automatic
framework, we combine a discrete-Morse based graph reconstruction algorithm
with an existing CNN framework to segment input satellite images. We show that
this leads to reconstructions with better connectivity and less noise. Next, in
a fully automatic framework, we leverage the power of the discrete-Morse based
graph reconstruction algorithm to train a CNN from a collection of images
without labelled data and use the same algorithm to produce the final output
from the segmented images created by the trained CNN. We apply the
discrete-Morse based graph reconstruction algorithm iteratively to improve the
accuracy of the CNN. We show promising experimental results of this new
framework on datasets from SpaceNet Challenge.

28
The categories of this paper are: alg-geom
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
32
The categories of this paper are: atom-ph
17
The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
19
The categories of this paper are: eess
22
The categories of this paper are: chao-dyn
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
9
The categories of this paper are: nlin
20
The categories of this paper are: acc-phys
31
The categories of this paper are: ao-sci