Computer aided system for seismic surveying process using UAVs

Ahmed O.G. Ramadan; Sami El Ferik

doi:10.1109/SGCAC.2016.7458018

Computer aided system for seismic surveying process using UAVs

Ahmed O.G. Ramadan, Sami El Ferik

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, a methodology for a texture-based classification between sand and rock images will be proposed, and an object recognition algorithm is added for the sand images. Eighteen types of sand and rock textures have been used to extract different type of features which are hypothetically should help in the classification process. The features discrimination ability were tested and ranked using t-test and signal to noise ratio measurements respectively, and based on those, the features with the strongest discrimination power were selected to be used in the classification process to increase the efficiency and reduce the processing time. A back-propagation neural network classifier was trained using the best-selected features until an accuracy of 100% was reached. Different edge detection object recognition methods where used to detect objects in the sand images which was tested with 18 images and the result was an accuracy of 100%.

Original language	English
Title of host publication	Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016
Editors	Khalid Badawi, Sharief F. Babiker
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	133-137
Number of pages	5
ISBN (Electronic)	9781509018123
DOIs	https://doi.org/10.1109/SGCAC.2016.7458018
State	Published - 21 Apr 2016

Publication series

Name	Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

classification
feaures
object
regocntion
rock
sand
texture

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Energy Engineering and Power Technology

Access to Document

10.1109/SGCAC.2016.7458018

Cite this

Ramadan, A. O. G., & El Ferik, S. (2016). Computer aided system for seismic surveying process using UAVs. In K. Badawi, & S. F. Babiker (Eds.), Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016 (pp. 133-137). Article 7458018 (Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SGCAC.2016.7458018

Ramadan, Ahmed O.G. ; El Ferik, Sami. / Computer aided system for seismic surveying process using UAVs. Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016. editor / Khalid Badawi ; Sharief F. Babiker. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 133-137 (Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016).

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abstract = "In this paper, a methodology for a texture-based classification between sand and rock images will be proposed, and an object recognition algorithm is added for the sand images. Eighteen types of sand and rock textures have been used to extract different type of features which are hypothetically should help in the classification process. The features discrimination ability were tested and ranked using t-test and signal to noise ratio measurements respectively, and based on those, the features with the strongest discrimination power were selected to be used in the classification process to increase the efficiency and reduce the processing time. A back-propagation neural network classifier was trained using the best-selected features until an accuracy of 100% was reached. Different edge detection object recognition methods where used to detect objects in the sand images which was tested with 18 images and the result was an accuracy of 100%.",

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author = "Ramadan, {Ahmed O.G.} and {El Ferik}, Sami",

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year = "2016",

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doi = "10.1109/SGCAC.2016.7458018",

language = "English",

series = "Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016",

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Ramadan, AOG & El Ferik, S 2016, Computer aided system for seismic surveying process using UAVs. in K Badawi & SF Babiker (eds), Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016., 7458018, Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016, Institute of Electrical and Electronics Engineers Inc., pp. 133-137. https://doi.org/10.1109/SGCAC.2016.7458018

Computer aided system for seismic surveying process using UAVs. / Ramadan, Ahmed O.G.; El Ferik, Sami.
Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016. ed. / Khalid Badawi; Sharief F. Babiker. Institute of Electrical and Electronics Engineers Inc., 2016. p. 133-137 7458018 (Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Ramadan AOG, El Ferik S. Computer aided system for seismic surveying process using UAVs. In Badawi K, Babiker SF, editors, Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 133-137. 7458018. (Proceedings of 2016 Conference of Basic Sciences and Engineering Studies, SGCAC 2016). doi: 10.1109/SGCAC.2016.7458018

Computer aided system for seismic surveying process using UAVs

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this