Quantitative and Qualitative Comparison of SAR Images from Incomplete Measurements using Compressed Sensing and Nonuniform FFT
In this paper the performance of two wideband synthetic aperture radar (SAR) imaging methods from incomplete data sets are compared quantitatively and qualitatively. The first approach uses nonuniform fast Fourier transform (NUFFT) SAR to form images from nonuniform spatial and frequency data points. The second approach benefits from the emerging compressed sensing (CS) methodology to recover raw data from undersampled measurements. The results of our experimental tests show that CS has a better performance in terms of error and image contrast while NUFFT SAR has lower computational complexity.
H. Kajbaf et al., "Quantitative and Qualitative Comparison of SAR Images from Incomplete Measurements using Compressed Sensing and Nonuniform FFT," Proceedings of the IEEE Radar Conference: In the Eye of the Storm (2011, Kansas City, MO), pp. 592-596, Institute of Electrical and Electronics Engineers (IEEE), May 2011.
The definitive version is available at https://doi.org/10.1109/RADAR.2011.5960606
IEEE Radar Conference: In the Eye of the Storm (2011: May 23-27, Kansas City, MO)
Electrical and Computer Engineering
Keywords and Phrases
Compressed Sensing; Experimental Test; Frequency Data; Image Contrasts; Imaging Method; Incomplete Data; Incomplete Measurements; Non-Uniform Fast Fourier Transforms; SAR Images; Wide-Band; Computational Complexity; Fast Fourier Transforms; Imaging Systems; Metadata; Radar Imaging; Radar Measurement; Signal Reconstruction; Storms; Synthetic Aperture Radar
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Article - Conference proceedings
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