Using frame theoretic convolutional gridding for robust synthetic aperture sonar imaging

John McKay, Anne Gelb, Vishal Monga, Raghu G. Raj

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent progress in synthetic aperture sonar (SAS) technology and processing has led to significant advances in underwater imaging, outperforming previously common approaches in both accuracy and efficiency. There are, however, inherent limitations to current SAS reconstruction methodology. In particular, popular and efficient Fourier domain SAS methods require a 2D interpolation which is often ill conditioned and inaccurate, inevitably reducing robustness with regard to speckle and inaccurate sound-speed estimation. To overcome these issues, we propose using the frame theoretic convolution gridding (FTCG) algorithm to handle the non-uniform Fourier data. FTCG extends upon non-uniform fast Fourier transform (NUFFT) algorithms by casting the NUFFT as an approximation problem given Fourier frame data. The FTCG has been show to yield improved accuracy at little more computational cost. Using simulated data, we outline how the FTCG can be used to enhance current SAS processing.

Original languageEnglish (US)
Title of host publicationOCEANS 2017 � Anchorage
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-7
Number of pages7
ISBN (Electronic)9780692946909
StatePublished - Dec 19 2017
EventOCEANS 2017 - Anchorage - Anchorage, United States
Duration: Sep 18 2017Sep 21 2017

Publication series

NameOCEANS 2017 - Anchorage
Volume2017-January

Other

OtherOCEANS 2017 - Anchorage
CountryUnited States
CityAnchorage
Period9/18/179/21/17

Fingerprint

Synthetic aperture sonar
synthetic apertures
sonar
Convolution
convolution integrals
Imaging techniques
Fast Fourier transforms
Fourier transform
Underwater imaging
speckle
Speckle
Processing
interpolation
Interpolation
Casting
Acoustic waves
methodology
gridding
costs
cost

All Science Journal Classification (ASJC) codes

  • Oceanography
  • Automotive Engineering
  • Water Science and Technology
  • Acoustics and Ultrasonics
  • Instrumentation
  • Ocean Engineering

Cite this

McKay, J., Gelb, A., Monga, V., & Raj, R. G. (2017). Using frame theoretic convolutional gridding for robust synthetic aperture sonar imaging. In OCEANS 2017 � Anchorage (pp. 1-7). (OCEANS 2017 - Anchorage; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc..
McKay, John ; Gelb, Anne ; Monga, Vishal ; Raj, Raghu G. / Using frame theoretic convolutional gridding for robust synthetic aperture sonar imaging. OCEANS 2017 � Anchorage. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 1-7 (OCEANS 2017 - Anchorage).
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abstract = "Recent progress in synthetic aperture sonar (SAS) technology and processing has led to significant advances in underwater imaging, outperforming previously common approaches in both accuracy and efficiency. There are, however, inherent limitations to current SAS reconstruction methodology. In particular, popular and efficient Fourier domain SAS methods require a 2D interpolation which is often ill conditioned and inaccurate, inevitably reducing robustness with regard to speckle and inaccurate sound-speed estimation. To overcome these issues, we propose using the frame theoretic convolution gridding (FTCG) algorithm to handle the non-uniform Fourier data. FTCG extends upon non-uniform fast Fourier transform (NUFFT) algorithms by casting the NUFFT as an approximation problem given Fourier frame data. The FTCG has been show to yield improved accuracy at little more computational cost. Using simulated data, we outline how the FTCG can be used to enhance current SAS processing.",
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McKay, J, Gelb, A, Monga, V & Raj, RG 2017, Using frame theoretic convolutional gridding for robust synthetic aperture sonar imaging. in OCEANS 2017 � Anchorage. OCEANS 2017 - Anchorage, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-7, OCEANS 2017 - Anchorage, Anchorage, United States, 9/18/17.

Using frame theoretic convolutional gridding for robust synthetic aperture sonar imaging. / McKay, John; Gelb, Anne; Monga, Vishal; Raj, Raghu G.

OCEANS 2017 � Anchorage. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-7 (OCEANS 2017 - Anchorage; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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McKay J, Gelb A, Monga V, Raj RG. Using frame theoretic convolutional gridding for robust synthetic aperture sonar imaging. In OCEANS 2017 � Anchorage. Institute of Electrical and Electronics Engineers Inc. 2017. p. 1-7. (OCEANS 2017 - Anchorage).