Buried Objects Segmentation and Detection in GPR B Scan Images

Gozde ALTIN; Arif DOLMA

Makale detayları

Buried Objects Segmentation and Detection in GPR B Scan Images

Yazarlar:

Gozde ALTIN | Arif DOLMA

Ana Başlıklar:

Uygulamalı fizik

Dergi:

The Eurasia Proceedings of Science Technology Engineering and Mathematics 2019 Vol.6, pp.11-17

Belge Tipi:

Makale

Yayın Tarihi:

7/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000660702

Özet:

 


Identification
of buried objects through Ground Penetrating Radar B scan (GPR-B) images needs
high computational techniques and long processing time due to curve fitting or
pattern recognition methods. In this study, an efficient and fast recognition
system is proposed for detection of buried objects region. Previously, GPR-B
scan images of objects with different shapes in various depths were obtained by
using gprMax simulation program. The detection process is categorized into four
steps. The GPR-B images are transformed at first step. Then, they are
thresholded to obtain potential buried object regions. Third step of the system
is hough transform in order to eliminate ground surface. Finally, an estimated
region analysis is performed. The results show high performance with fully
automatic segmentation. The processing time for detection of buried object is
in the range of 1.234 - 2.232 seconds. It can be observed that this technique is
faster than other studies in the literature. Consequently, it may be used in
real time applications for GPR devices.

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Makale detayları

Buried Objects Segmentation and Detection in GPR B Scan Images

Yazarlar: Gozde ALTIN | Arif DOLMA

Ana Başlıklar: Uygulamalı fizik

Dergi: The Eurasia Proceedings of Science Technology Engineering and Mathematics 2019 Vol.6, pp.11-17

Belge Tipi: Makale

Yayın Tarihi: 7/2019

Belge Dili: İngilizce

Document ID (Org No.): 2000660702

Sayı

Yazarlar:

Gozde ALTIN | Arif DOLMA

Ana Başlıklar:

Uygulamalı fizik

Dergi:

The Eurasia Proceedings of Science Technology Engineering and Mathematics 2019 Vol.6, pp.11-17

Belge Tipi:

Makale

Yayın Tarihi:

7/2019

Belge Dili:

İngilizce

Document ID (Org No.):

2000660702