Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Multiresolution Analysis and Learning for Computational Seismic
  Interpretation   We explore the use of multiresolution analysis techniques as texture
attributes for seismic image characterization, especially in representing
subsurface structures in large migrated seismic data. Namely, we explore the
Gaussian pyramid, the discrete wavelet transform, Gabor filters, and the
curvelet transform. These techniques are examined in a seismic structure
labeling case study on the Netherlands offshore F3 block. In seismic structure
labeling, a seismic volume is automatically segmented and classified according
to the underlying subsurface structure using texture attributes. Our results
show that multiresolution attributes improved the labeling performance compared
to using seismic amplitude alone. Moreover, directional multiresolution
attributes, such as the curvelet transform, are more effective than the
non-directional attributes in distinguishing different subsurface structures in
large seismic datasets, and can greatly help the interpretation process.

15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
16
The categories of this paper are: stat
14
The categories of this paper are: math-ph
36
The categories of this paper are: cmp-lg
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
21
The categories of this paper are: adap-org
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat