3D image reconstruction from sparse measurement of wideband millimeter wave SAR experiments

Nonuniform random sampling is applied to a wideband 3D synthetic aperture radar (SAR) imaging system to reduce the number of measurement points in both frequency and space domains. Experimental tests were performed on a construction foam specimen using uniformly sampled Q-band frequencies in 35.04 G...

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Hauptverfasser: Kajbaf, H., Case, J. T., Zheng, Y. R.
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description Nonuniform random sampling is applied to a wideband 3D synthetic aperture radar (SAR) imaging system to reduce the number of measurement points in both frequency and space domains. Experimental tests were performed on a construction foam specimen using uniformly sampled Q-band frequencies in 35.04 GHz to 44.96 GHz and at a grid of two millimeter step sizes. Using discrete Fourier transform (DFT) or discrete cosine transform (DCT) sparse representations, the 3D images can be reconstructed from 7% random samples of the experimental data achieving comparable quality as the one from original full-set data. This can translate to significant time reduction of measurement from more than one hour to less than 20 minutes.
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subjects Compressed sensing
Discrete cosine transforms
Discrete Fourier transforms
Image reconstruction
Imaging
millimeter wave imaging
nondestructive testing
Probes
synthetic aperture radar
Three dimensional displays
Wideband
title 3D image reconstruction from sparse measurement of wideband millimeter wave SAR experiments
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