Abstract
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. © 2011 IEEE.
Recommended Citation
H. Kajbaf et al., "3D Image Reconstruction from Sparse Measurement of Wideband Millimeter Wave SAR Experiments," Proceedings - International Conference on Image Processing, ICIP, pp. 2701 - 2704, article no. 6116226, Institute of Electrical and Electronics Engineers, Dec 2011.
The definitive version is available at https://doi.org/10.1109/ICIP.2011.6116226
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Compressed sensing; millimeter wave imaging; nondestructive testing; synthetic aperture radar
International Standard Book Number (ISBN)
978-145771303-3
International Standard Serial Number (ISSN)
1522-4880
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 2011
