3D VISUALIZATION APPROACH TO GPR DATA

Merve ÖZKAN OKAY; Refik SAMET

Article Details

3D VISUALIZATION APPROACH TO GPR DATA

Authors:

Merve ÖZKAN OKAY | Refik SAMET

Publisher:

Ankara University

Journal:

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 2017 Vol.59 Issue 2, pp.29-40

Document Type:

Article

Publication Date:

12/2017

Document Language:

English

Document ID (Org No.):

2000911035

Frequency:

Bi-Annual

eISSN:

2618-6462

Abstract:

 


Ground Penetrating Radar (GPR) is
used to acquire data from near-surface depth for archeological, infrastructural,
etc. researches and applications. Acquired data allow users to visualize and
interpret the underground structures with high accuracy. The 3D visualization
of the underground structures is one of the most problem for GPR research and
applications. Usage of the suitable approach for 3D visualization will increase
the accuracy of visualization and interpretation of underground structures. In
order to contribute to this problem, an approach is proposed. Firstly, GPR data
are acquired from the search area and data preprocessing steps are applied to
GPR data. Secondly, the incomplete or missing data are recovered using
interpolation techniques. Thirdly, the GPR data corresponding to the
underground structures or anomalies are extracted and placed in a 3D cube.
Finally, the extracted GPR data are visualized in 3D environment. The proposed
approach was implemented on the real GPR data acquired from the test area. The
results showed that created 3D models of the underground structures are very
close to real model.

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Article Details

3D VISUALIZATION APPROACH TO GPR DATA

Authors: Merve ÖZKAN OKAY | Refik SAMET

Publisher: Ankara University

Journal: Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 2017 Vol.59 Issue 2, pp.29-40

Document Type: Article

Publication Date: 12/2017

Document Language: English

Document ID (Org No.): 2000911035

Frequency: Bi-Annual

eISSN: 2618-6462

Issues

Authors:

Merve ÖZKAN OKAY | Refik SAMET

Publisher:

Ankara University

Journal:

Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering 2017 Vol.59 Issue 2, pp.29-40

Document Type:

Article

Publication Date:

12/2017

Document Language:

English

Document ID (Org No.):

2000911035

Frequency:

Bi-Annual

eISSN:

2618-6462