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Journal of Geophysics and Engineering, volume 15, issue 5, pages 1953-1962

Detection of channel by seismic texture analysis using Grey Level Co-occurrence Matrix based attributes

Reza Mohebian

Mohammad Ali Riahi

Omid Yousefi

Show full list: 3 authors

Publication type: Journal Article

Publication date: 2018-06-19

Oxford University Press

Journal: Journal of Geophysics and Engineering

scimago Q2

SJR: 0.542

CiteScore: 2.5

Impact factor: 1.6

ISSN: 17422132, 17422140

DOI: 10.1088/1742-2140/aac099

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Mohebian R., Riahi M. A., Yousefi O. Detection of channel by seismic texture analysis using Grey Level Co-occurrence Matrix based attributes // Journal of Geophysics and Engineering. 2018. Vol. 15. No. 5. pp. 1953-1962.

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RIS |

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RIS Copy

TY - JOUR

DO - 10.1088/1742-2140/aac099

UR - https://doi.org/10.1088/1742-2140/aac099

TI - Detection of channel by seismic texture analysis using Grey Level Co-occurrence Matrix based attributes

T2 - Journal of Geophysics and Engineering

AU - Mohebian, Reza

AU - Riahi, Mohammad Ali

AU - Yousefi, Omid

PY - 2018

DA - 2018/06/19

PB - Oxford University Press

SP - 1953-1962

IS - 5

VL - 15

SN - 1742-2132

SN - 1742-2140

ER -

BibTex |

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BibTex (up to 50 authors) Copy

@article{2018_Mohebian,

author = {Reza Mohebian and Mohammad Ali Riahi and Omid Yousefi},

title = {Detection of channel by seismic texture analysis using Grey Level Co-occurrence Matrix based attributes},

journal = {Journal of Geophysics and Engineering},

year = {2018},

volume = {15},

publisher = {Oxford University Press},

month = {jun},

url = {https://doi.org/10.1088/1742-2140/aac099},

number = {5},

pages = {1953--1962},

doi = {10.1088/1742-2140/aac099}

}

MLA

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MLA Copy

Mohebian, Reza, et al. “Detection of channel by seismic texture analysis using Grey Level Co-occurrence Matrix based attributes.” Journal of Geophysics and Engineering, vol. 15, no. 5, Jun. 2018, pp. 1953-1962. https://doi.org/10.1088/1742-2140/aac099.

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Publisher

Oxford University Press

Journal

Journal of Geophysics and Engineering

scimago Q2

SJR

0.542

CiteScore

2.5

Impact factor

1.6

ISSN

17422132 (Print)

17422140 (Electronic)