TY - GEN
T1 - Estimation of Internal Wave Parameters based on SAR Images
AU - Dong, Haiyue
AU - Xu, Rongqing
AU - Xiao, Tian
AU - Zhang, Yun
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Since the synthetic aperture radar (SAR) images of internal wave contain additive and multiplicative noise under the ocean background, it is necessary to extract the internal wave to obtain the parameter information. This paper proposes a variational mode decomposition (VMD) method for separating and extracting internal waves. To solve the ambiguity in the estimation of direction, normalized radon transform in the elliptic domain is combined with the VDM, which can estimate the propagation direction of the internal waves accurately. Then performing experiments on Andaman Sea internal wave data collected by ERS-1 shows that VMD is least disturbed by the background information, and the estimation result of wavelength is closest to the measured value. At the same time, correct results are obtained by using the proposed method to estimate the propagation direction of the measured data from various sea areas, which proves the effectiveness of the proposed method.
AB - Since the synthetic aperture radar (SAR) images of internal wave contain additive and multiplicative noise under the ocean background, it is necessary to extract the internal wave to obtain the parameter information. This paper proposes a variational mode decomposition (VMD) method for separating and extracting internal waves. To solve the ambiguity in the estimation of direction, normalized radon transform in the elliptic domain is combined with the VDM, which can estimate the propagation direction of the internal waves accurately. Then performing experiments on Andaman Sea internal wave data collected by ERS-1 shows that VMD is least disturbed by the background information, and the estimation result of wavelength is closest to the measured value. At the same time, correct results are obtained by using the proposed method to estimate the propagation direction of the measured data from various sea areas, which proves the effectiveness of the proposed method.
KW - Synthetic aperture radar (SAR)
KW - internal wave
KW - parameter estimation
KW - radon transform
KW - variational mode decomposition (VMD)
UR - https://www.scopus.com/pages/publications/85140409680
U2 - 10.1109/IGARSS46834.2022.9884025
DO - 10.1109/IGARSS46834.2022.9884025
M3 - 会议稿件
AN - SCOPUS:85140409680
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 7073
EP - 7076
BT - IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022
Y2 - 17 July 2022 through 22 July 2022
ER -