A multiple migration and stacking algorithm designed for land mine detection

Schofield, John, Daniels, David and Hammerton, Paul (2014) A multiple migration and stacking algorithm designed for land mine detection. IEEE Transactions on Geoscience and Remote Sensing, 52 (11). pp. 6983-6988. ISSN 0196-2892

[thumbnail of 2014IEEE_Schofield]
PDF (2014IEEE_Schofield) - Published Version
Download (677kB) | Preview


This paper describes a modification to a standard migration algorithm for land mine detection with a ground-penetrating radar (GPR) system. High directivity from the antenna requires a significantly large aperture in relation to the operating wavelength, but at the frequencies of operation of GPR, this would result in a large and impractical antenna. For operator convenience, most GPR antennas are small and exhibit low directivity and a wide beamwidth. This causes the GPR image to bear little resemblance to the actual target scattering centers. Migration algorithms attempt to reduce this effect by focusing the scattered energy from the source reflector and consequentially improve the target detection rate. However, problems occur due to the varying operational conditions, which result in the migration algorithm requiring vastly different calibration parameters. In order to combat this effect, this migration scheme stacks multiple versions of the same migrated data with different velocity values, whereas some other migration schemes only use a single velocity value.

Item Type: Article
Uncontrolled Keywords: detectors,diffraction,ground penetrating radar,landmine detection,scattering,stacking,land mine detection,reverse time migration
Faculty \ School: Faculty of Science > School of Mathematics
UEA Research Groups: Faculty of Science > Research Groups > Fluid and Solid Mechanics
Depositing User: Pure Connector
Date Deposited: 12 May 2014 15:40
Last Modified: 31 Oct 2023 01:43
URI: https://ueaeprints.uea.ac.uk/id/eprint/48447
DOI: 10.1109/TGRS.2014.2306325


Downloads per month over past year

Actions (login required)

View Item View Item