TY - GEN
T1 - Velocity measurement by refocusing approach in azimuth multi-angle spaceborne SAR imaging mode
AU - Ma, Xiaocong
AU - Yang, Wei
AU - Gao, Heli
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/17
Y1 - 2017/1/17
N2 - In synthetic aperture radar (SAR) images, moving objects appear defocusing. Traditional azimuth velocity estimation methods ignore the displacement error caused by defocusing, which lead to the pixel offset measurement error among sequential images. In order to correct this error, a velocity measurement approach by moving target refocusing is presented in this paper. A novel azimuth multi-Angle spaceborne SAR imaging mode is introduced to get sequential images, and effects of azimuth velocity on targets are presented as well. Moreover, azimuth velocity measurement method is derived to get the initial estimation value of the azimuth velocity. By using the initial estimation value, a refocusing approach is given, by compensating the quadratic residual phase and the time-shift phase caused by object moving. Consequently, a more precise azimuth velocity estimation result can be get by implementing the azimuth velocity measurement method again. Finally, the approach is verified by simulation of a point target with azimuth velocity.
AB - In synthetic aperture radar (SAR) images, moving objects appear defocusing. Traditional azimuth velocity estimation methods ignore the displacement error caused by defocusing, which lead to the pixel offset measurement error among sequential images. In order to correct this error, a velocity measurement approach by moving target refocusing is presented in this paper. A novel azimuth multi-Angle spaceborne SAR imaging mode is introduced to get sequential images, and effects of azimuth velocity on targets are presented as well. Moreover, azimuth velocity measurement method is derived to get the initial estimation value of the azimuth velocity. By using the initial estimation value, a refocusing approach is given, by compensating the quadratic residual phase and the time-shift phase caused by object moving. Consequently, a more precise azimuth velocity estimation result can be get by implementing the azimuth velocity measurement method again. Finally, the approach is verified by simulation of a point target with azimuth velocity.
KW - multi-Angle
KW - phase compensation
KW - refocusing
KW - sequential images
KW - velocity estimation
UR - https://www.scopus.com/pages/publications/85013837168
U2 - 10.1109/ICCAIS.2016.7822428
DO - 10.1109/ICCAIS.2016.7822428
M3 - 会议稿件
AN - SCOPUS:85013837168
T3 - 2016 International Conference on Control, Automation and Information Sciences, ICCAIS 2016
SP - 17
EP - 20
BT - 2016 International Conference on Control, Automation and Information Sciences, ICCAIS 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th International Conference on Control, Automation and Information Sciences, ICCAIS 2016
Y2 - 27 October 2016 through 29 October 2016
ER -