Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Subsurface structure analysis using computational interpretation and
  learning: A visual signal processing perspective   Understanding Earth's subsurface structures has been and continues to be an
essential component of various applications such as environmental monitoring,
carbon sequestration, and oil and gas exploration. By viewing the seismic
volumes that are generated through the processing of recorded seismic traces,
researchers were able to learn from applying advanced image processing and
computer vision algorithms to effectively analyze and understand Earth's
subsurface structures. In this paper, first, we summarize the recent advances
in this direction that relied heavily on the fields of image processing and
computer vision. Second, we discuss the challenges in seismic interpretation
and provide insights and some directions to address such challenges using
emerging machine learning algorithms.

20
The categories of this paper are: acc-phys
23
The categories of this paper are: solv-int
30
The categories of this paper are: q-alg
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
6
The categories of this paper are: astro-ph
15
The categories of this paper are: nucl-ex
29
The categories of this paper are: funct-an
4
The categories of this paper are: cond-mat
9
The categories of this paper are: nlin
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
34
The categories of this paper are: chem-ph
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
8
The categories of this paper are: hep-ex