A Realistic FDTD Numerical Modeling Framework of Ground Penetrating Radar for Landmine Detection
- Submitting institution
-
University of Edinburgh
(joint submission with Heriot-Watt University)
- Unit of assessment
- 12 - Engineering
- Output identifier
- 59770974
- Type
- D - Journal article
- DOI
-
10.1109/JSTARS.2015.2468597
- Title of journal
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Article number
- -
- First page
- 37
- Volume
- 9
- Issue
- 1
- ISSN
- 1939-1404
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
D - IE
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The most realistic numerical modelling for landmine detection ground penetrating radar (GPR). These results were presented at the International Conference on GPR (2014) where the proceedings contribution (DOI:10.1109/ICGPR.2014.6970568) won a best paper award. The paper influenced research on GPR for landmines (doi:10.1117/12.2300509, doi:10.1109/TGRS.2019.2931134, doi:10.3390/rs11080984, doi:10.1117/12.2301009,) and contributed to creating reference GPR modelling data (doi:10.1016/j.cageo.2020.104422). The development of further advanced processing algorithms resulted in collaboration with DSTL (£59k) [contact available]. The demonstrated capability to realistically simulate GPR was instrumental in establishing links with Google Inc. (DOI:10.1016/j.cpc.2018.11.007) and adapting the gprMax solver (www.gprmax.com) for the MIST gFiber Team, Google (£154k) [contact available].
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
