@Article{CiCP-1-1,
author = {},
title = {High-Resolution 3-D Radar Imaging Through Nonuniform Fast Fourier Transform (NUFFT)},
journal = {Communications in Computational Physics},
year = {2006},
volume = {1},
number = {1},
pages = {176--191},
abstract = {<p style="text-align: justify;">This paper applies a 3-D nonuniform fast Fourier transform (NUFFT) migration
method to image both free-space and buried targets from data collected by a ultra-wideband
ground penetrating radar (GPR) system. The method incorporates the NUFFT algorithm
into 3-D phase shift migration to evaluate the inverse Fourier transform more accurately and
more efficiently than the conventional migration methods. Previously, the nonuniform nature
of the wavenumber space required linear interpolation before the regular fast Fourier
transform (FFT) could be applied. However, linear interpolation usually degrades the quality
of reconstructed images. The NUFFT method mitigates such errors by using high-order
spatial-varying kernels. The NUFFT migration method is utilized to reconstruct GPR images
collected in laboratory. A plywood sheet in free space and a buried plexiglas chamber
are successfully reconstructed. The results in 3-D visualization demonstrate the outstanding
performance of the method to retrieve the geometry of the objects. Several buried landmines
are also scanned and reconstructed using this method. Since the images resolve the features
of the objects well, they can be utilized to assist the landmine discrimination.</p>},
issn = {1991-7120},
doi = {https://doi.org/2006-CiCP-10193},
url = {https://global-sci.com/article/81364/high-resolution-3-d-radar-imaging-through-nonuniform-fast-fourier-transform-nufft}
}