TY - GEN
T1 - Using frame theoretic convolutional gridding for robust synthetic aperture sonar imaging
AU - McKay, John
AU - Gelb, Anne
AU - Monga, Vishal
AU - Raj, Raghu G.
N1 - Funding Information:
McKay, Monga, & Raj were supported by ONR Grant 0401531. A. Gelb was partially supported by AFOSR FA9550-15-1-0152
Publisher Copyright:
© 2017 Marine Technology Society.
PY - 2017/12/19
Y1 - 2017/12/19
N2 - 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.
AB - 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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M3 - Conference contribution
AN - SCOPUS:85048204854
T3 - OCEANS 2017 - Anchorage
SP - 1
EP - 7
BT - OCEANS 2017 � Anchorage
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - OCEANS 2017 - Anchorage
Y2 - 18 September 2017 through 21 September 2017
ER -