Presentation + Paper
1 April 2019 Electromagnetic sensing of a subsurface metallic object at different depths
Author Affiliations +
Abstract
Microwave/radar sensors and techniques are widely used for detecting underground or subsurface targets in archeology, geophysics, and civil engineering. Among existing microwave/radar sensors and techniques, synthetic aperture radar (SAR) imaging enables researchers and engineers to conduct surface and subsurface detection of metallic objects with improved detectability. The noncontact, remote sensing feature of SAR imaging provides a safer approach in a dangerous mission, such as demining. The objective of this paper is to investigate the depth (d) effect of a metallic object buried in dry sand. A steel disk specimen of 15-cm diameter was buried inside a box (sandbox) filled up with dry sand at various depths (d = 10 cm, 18 cm, and 26 cm) and scanned by a 10-GHz SAR system. Three ranges (R = 15 cm, 30 cm, and 60 cm) between the SAR antenna and the sandbox were also considered in this research. It was found that the SAR amplitude and its distribution decrease with the increase of buried depth and the increase of range. Distribution of SAR amplitudes representing the buried metal disk specimen also changed with the increase of buried depth. Empirical models were also proposed for range and depth effects of subsurface metallic objects in SAR images.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmed Alzeyadi, Jie Hu, and Tzuyang Yu "Electromagnetic sensing of a subsurface metallic object at different depths", Proc. SPIE 10971, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XIII, 1097105 (1 April 2019); https://doi.org/10.1117/12.2514460
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Synthetic aperture radar

Signal to noise ratio

Radar

Imaging systems

Sensors

Signal attenuation

Electromagnetism

Back to Top