TY - GEN
T1 - Synthetic Aperture Radar Imaging of Abrupt Underwater Topography
AU - Sui, Xuemei
AU - Liu, Mei
AU - Li, Yuhang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/10/23
Y1 - 2020/10/23
N2 - Traditional Synthetic Aperture Radar (SAR) imaging theory of underwater topography is explained by flow field model, wave model and radar backscatter model. However, the models are simplified and there are still many uncertain problems to be studied. In order to study the imaging theory of large scale abrupt underwater topography SAR, a nonlinear flow field model is introduced. This model is helpful to obtain nonlinear details of the sea surface modulated by topographic waves. The hybridizable discontinuous Galerkin (HDG) is used to solve compressible Navier-Stokes (NS) equation to obtain the nonlinear interaction between topography and flow field. The calculation results are taken into the equation of action spectrum balance, then the radar backscattering coefficient is calculated based on Bragg scattering. Finally, the nonlinear sea surface is imaged by BP imaging algorithm. The results show that the SAR image fringe with nonlinear flow field corresponds to the topography, and the SAR imaging based on linear flow field is not obvious.
AB - Traditional Synthetic Aperture Radar (SAR) imaging theory of underwater topography is explained by flow field model, wave model and radar backscatter model. However, the models are simplified and there are still many uncertain problems to be studied. In order to study the imaging theory of large scale abrupt underwater topography SAR, a nonlinear flow field model is introduced. This model is helpful to obtain nonlinear details of the sea surface modulated by topographic waves. The hybridizable discontinuous Galerkin (HDG) is used to solve compressible Navier-Stokes (NS) equation to obtain the nonlinear interaction between topography and flow field. The calculation results are taken into the equation of action spectrum balance, then the radar backscattering coefficient is calculated based on Bragg scattering. Finally, the nonlinear sea surface is imaged by BP imaging algorithm. The results show that the SAR image fringe with nonlinear flow field corresponds to the topography, and the SAR imaging based on linear flow field is not obvious.
KW - BP imaging algorithm
KW - HDG
KW - abrupt underwater topography
KW - nonlinear flow field
KW - synthetic aperture radar
UR - https://www.scopus.com/pages/publications/85101173125
U2 - 10.1109/ICSIP49896.2020.9339364
DO - 10.1109/ICSIP49896.2020.9339364
M3 - 会议稿件
AN - SCOPUS:85101173125
T3 - 2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020
SP - 479
EP - 482
BT - 2020 IEEE 5th International Conference on Signal and Image Processing, ICSIP 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Signal and Image Processing, ICSIP 2020
Y2 - 23 October 2020 through 25 October 2020
ER -