A New B-Scan Interpretation Model in Complex Environments

Dai, Qianqi; Li, Yibing; Jiang, Tao; Sun, Qian

doi:10.1109/tim.2022.3214294

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Other1

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Attenuation of non-stationary random noise in ground penetrating radar data based on time-varying filtering

Cheng,

Cui,

Chen

et al. 2024

Measurement

View full text Add to dashboard Cite

Attenuation of non-stationary random noise in ground penetrating radar data based on time-varying filtering

Cheng,

Cui,

Chen

et al. 2024

Measurement

View full text Add to dashboard Cite

Research on underground pipeline spatial positioning method based on multi-offset ground penetrating radar

Zhang,

Cui,

Zhang

et al. 2024

Meas. Sci. Technol.

View full text Add to dashboard Cite

Accurate prediction of the spatial location of underground pipelines is crucial to ensure the safe operation of pipelines. However, the traditional ground penetrating radar (GPR) relies too much on the image data quality and the detection personnel's experience. It can only estimate the approximate location of the underground pipeline. The acquisition of electromagnetic wave velocity is an essential part of accurately interpreting the spatial location of underground pipelines. Therefore, this paper's research proposes a data processing flow that can be applied to multi-offset GPR, including multiple stacks of the same target and interactive velocity spectrum. The accuracy and practicability of the method are verified by numerical simulation and field tests. The research shows that multiple stacks can effectively suppress noise and enhance the signal characteristics of deep targets. In the simulated data, traditional GPR distance errors for layered structures and pipelines are 0.06m and 0.13m. In comparison, the distance error of the method proposed in this paper is 0.019m in layered structures, which is a reduction of 5.86% in relative error. The pipeline distance error is 0.029m, and the relative error is reduced by 10.1%. The distance errors of traditional GPR and multi-offset GPR for pipelines in field tests were 0.15m and 0.093m, respectively, with a reduction of 8.77% in the relative error.

show abstract

Dependable Pipeline Detection algorithms for GPRs in Obscuration Environments

Zhou,

Xu,

et al. 2024

2024 IEEE 7th International Conference on Electronic Information and Communication Technology (ICEICT)

View full text Add to dashboard Cite

A New B-Scan Interpretation Model in Complex Environments

Cited by 4 publications

References 27 publications

Attenuation of non-stationary random noise in ground penetrating radar data based on time-varying filtering

Attenuation of non-stationary random noise in ground penetrating radar data based on time-varying filtering

Research on underground pipeline spatial positioning method based on multi-offset ground penetrating radar

Dependable Pipeline Detection algorithms for GPRs in Obscuration Environments

Contact Info

Product

Resources

About