TY - GEN
T1 - Vehicle azimuth angle estimation of sar image based on target restoration
AU - Zhang, Lamei
AU - Miao, Wuxia
AU - Zou, Bin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019
Y1 - 2019
N2 - Aiming at the problem that only the boundaries near the radar appear as strong scattering points and the other boundaries are weakly scattered, this paper proposes an azimuth angle estimation method of vehicle based on target restoration. Through in-depth analysis of the vehicle target scattering structure and error sources, the method introduces the principle of symmetry to restore the target structure as much as possible, and uses the restored target to perform azimuth angle estimation, which solves the problem of inaccurate estimation value and unstable error of traditional methods. The experimental results of MSTAR measured data verify the accuracy and stability of the method.
AB - Aiming at the problem that only the boundaries near the radar appear as strong scattering points and the other boundaries are weakly scattered, this paper proposes an azimuth angle estimation method of vehicle based on target restoration. Through in-depth analysis of the vehicle target scattering structure and error sources, the method introduces the principle of symmetry to restore the target structure as much as possible, and uses the restored target to perform azimuth angle estimation, which solves the problem of inaccurate estimation value and unstable error of traditional methods. The experimental results of MSTAR measured data verify the accuracy and stability of the method.
KW - Azimuth angle estimation
KW - Synthetic Aperture Radar (SAR)
KW - Target restoration
KW - Vehicle target
UR - https://www.scopus.com/pages/publications/85113907361
U2 - 10.1109/IGARSS.2019.8900325
DO - 10.1109/IGARSS.2019.8900325
M3 - 会议稿件
AN - SCOPUS:85113907361
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 3772
EP - 3775
BT - 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Y2 - 28 July 2019 through 2 August 2019
ER -