Ground Penetrating Radar: Data, Imaging, and Signal Analysis
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 153
Special Issue Editors
Interests: signal processing of ground-penetrating radar (GPR); joint inversion of GPR and seismic exploration; nonlinear elasticity of rocks
Special Issues, Collections and Topics in MDPI journals
Interests: signal processing; ground penetrating radar; planetary science
Special Issues, Collections and Topics in MDPI journals
Interests: numerical simulation of ground penetrating radar; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The theme of 20th International Conference on Ground Penetrating Radar (GPR 2024) is “GPR for better city”. GPR is a powerful technology that has the potential to greatly improve city infrastructure and planning. GPR utilizes electromagnetic waves to detect and map subsurface features, making it a valuable tool for various applications in urban environments. By providing accurate information about the depth and location of underground infrastructure, GPR can contribute to more efficient and cost-effective urban planning and development. GPR is also useful for assessing the condition of city infrastructure and assisting in identifying potential sinkholes or unstable ground conditions and geological and geotechnical investigations, which are crucial for allowing better decision making during urban development projects.
The topics of this Special Issue include, but are not limited to, the following:
- Data processing and analysis;
- Security;
- Environment and agriculture;
- Modeling and inversion;
- Archeology and historical buildings;
- Geological applications;
- Civil engineering and Geotechnical application;
- Planetary Sciences;
- City utility application;
- NDT.
Prof. Dr. Xuan Feng
Dr. Haoqiu Zhou
Dr. Zejun Dong
Guest Editors
Manuscript Submission Information
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Keywords
- GPR
- imaging
- signal processing
- modeling
- inversion
- application
