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Synthetic Aperture Scatter Imaging

Publication ,  Journal Article
Huang, Q; Dong, Z; Nero, G; Takashima, Y; Schulz, TJ; Brady, DJ
Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
January 1, 2024

Diffraction limits the minimum resolvable feature on remotely observed targets to $\lambda R_{c}/A_{c}$, where $\lambda$ is the operating wavelength, $R_{c}$ is the range to the target and $A_{c}$ is the diameter of the observing aperture. Resolution is often further reduced by scatter or turbulence. Here we show that analysis of scattered coherent illumination can be used to achieve resolution proportional to $\lambda R_{s}/A_{s}$, where $R_{s}$ is the range between the scatterer and the target and $A_{s}$ is the diameter of the observed scatter. Theoretical analysis suggests that this approach can yield resolution up to 1000× better than the diffraction limit. We present laboratory results demonstrating $>30\times$ improvement over direct observation. In field experiments, we use a 23.5 cm aperture telescope at 100 m to resolve 27.78 $\mu$m features, improving on diffraction limited resolution by $>10\times$. The combination of lab and field results demonstrates the potential of scatter analysis to achieve multiple order of magnitude improvements in resolution in applications spanning microscopy and remote sensing.

Duke Scholars

Published In

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

EISSN

2151-1535

ISSN

1939-1404

Publication Date

January 1, 2024

Volume

17

Start / End Page

696 / 704

Related Subject Headings

  • 4601 Applied computing
  • 4013 Geomatic engineering
  • 3709 Physical geography and environmental geoscience
  • 0909 Geomatic Engineering
  • 0801 Artificial Intelligence and Image Processing
  • 0406 Physical Geography and Environmental Geoscience
 

Citation

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Huang, Q., Dong, Z., Nero, G., Takashima, Y., Schulz, T. J., & Brady, D. J. (2024). Synthetic Aperture Scatter Imaging. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 696–704. https://doi.org/10.1109/JSTARS.2023.3329776
Huang, Q., Z. Dong, G. Nero, Y. Takashima, T. J. Schulz, and D. J. Brady. “Synthetic Aperture Scatter Imaging.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17 (January 1, 2024): 696–704. https://doi.org/10.1109/JSTARS.2023.3329776.
Huang Q, Dong Z, Nero G, Takashima Y, Schulz TJ, Brady DJ. Synthetic Aperture Scatter Imaging. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024 Jan 1;17:696–704.
Huang, Q., et al. “Synthetic Aperture Scatter Imaging.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, Jan. 2024, pp. 696–704. Scopus, doi:10.1109/JSTARS.2023.3329776.
Huang Q, Dong Z, Nero G, Takashima Y, Schulz TJ, Brady DJ. Synthetic Aperture Scatter Imaging. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2024 Jan 1;17:696–704.

Published In

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

DOI

EISSN

2151-1535

ISSN

1939-1404

Publication Date

January 1, 2024

Volume

17

Start / End Page

696 / 704

Related Subject Headings

  • 4601 Applied computing
  • 4013 Geomatic engineering
  • 3709 Physical geography and environmental geoscience
  • 0909 Geomatic Engineering
  • 0801 Artificial Intelligence and Image Processing
  • 0406 Physical Geography and Environmental Geoscience