Effects of different soil types on strip-map GPR SAR images

Hakki Nazli; Mehmet Sezgin

doi:10.1117/12.883808

23 May 2011 Effects of different soil types on strip-map GPR SAR images

Hakki Nazli, Mehmet Sezgin

Proceedings Volume 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI; 80170Y (2011) https://doi.org/10.1117/12.883808
Event: SPIE Defense, Security, and Sensing, 2011, Orlando, Florida, United States

Abstract

In this study, we present generation of Strip-map Synthetic Aperture Radar (SAR) images using impulse GPR system, and investigate effects of different soil types on SAR images. The SAR images of buried objects have been interpreted via 2D inverse Fourier transformation. GPR buried target data have been collected from three soil pools having different dielectric constants and B-scan images have been reconstructed from the received data using mean A-scan signal subtraction method. In order to reconstruct SAR images, the time domain data collected from multiple observation points have been transformed to 2D spectral domain. Non-uniform data have been interpolated over spatial Cartesian grid by using uniform interval. Thus, the SAR images have been reconstructed via 2D inverse FFT of interpolated data on k_y-k_z plane. When examined mathematical background of SAR algorithm, the values of different dielectric constants change the wave number of k. This can lead to deterioration of the SAR imagery. In this study, we investigate the Effect of the dielectric constant of different soils has been examined on SAR images. Finally, resolution difference between background removed B-Scan data and SAR images is considered.

Citation Download Citation

Hakki Nazli and Mehmet Sezgin "Effects of different soil types on strip-map GPR SAR images", Proc. SPIE 8017, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XVI, 80170Y (23 May 2011); https://doi.org/10.1117/12.883808

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