Subsurface material type determination from ground-penetrating radar signatures

Hamed Parsiani; Pedro A. Rodriguez

doi:10.1117/12.566481

10 November 2004 Subsurface material type determination from ground-penetrating radar signatures

Hamed Parsiani, Pedro A. Rodriguez

Proceedings Volume 5573, Image and Signal Processing for Remote Sensing X; (2004) https://doi.org/10.1117/12.566481
Event: Remote Sensing, 2004, Maspalomas, Canary Islands, Spain

Abstract

A Ground Penetrating Radar (GPR at 1.5 GHz) has been used to help determine the material type at different subsurface layers. Based on the incidence and reflected electromagnetic waves, a new method was devised which determines Material Characteristics in Fourier Domain (MCFD), which can be used for material identification. MCFD is calculated at every reflection. Each reflection is caused by sufficient change in dielectric constant of two different soil layers. Working in frequency domain the effect of the media is separated by using the wavelet of the electromagnetic signal before and after it is reflected from the media. An algorithm is developed which obtains the MCFD which defines material type by the use of a 2-layer Back-propagation Neural Network (NN). Material type can be determined irregardless of layer at which the object is buried (limited to GPR reflection intensity level), or object size, or if an extended subsurface layer is present. In this method, GPR images for different material types at different layers were obtained; up to two levels of mixed material types such as sand, clay, loam, rock, broken jar, etc. were considered.

Citation Download Citation

Hamed Parsiani and Pedro A. Rodriguez "Subsurface material type determination from ground-penetrating radar signatures", Proc. SPIE 5573, Image and Signal Processing for Remote Sensing X, (10 November 2004); https://doi.org/10.1117/12.566481

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