TY - GEN
T1 - Sea Surface Imaging and Interferometric Phase Analysis of Multi-Channel SAR System
AU - Yao, Huiyu
AU - Zhang, Yun
AU - Liu, Faji
AU - Ji, Benyu
AU - Li, Hongbo
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Multi-channel InSAR facilitates the retrieval of high-accuracy elevation information of the sea surface through phase analysis. This paper adopts an improved sea surface InSAR imaging model based on multi-channel InSAR, considering the dynamic characteristics of ocean elements and the sea surface. Echo parameters of the sea surface at each azimuth are recalculated to better reflect real sea surface conditions. The analysis primarily focuses on multi-channel InSAR technology for sea surface imaging, establishing a stochastic sea surface model that incorporates ocean wind field elements. The impact of various factors such as wind direction, wind speed, radar frequency, baseline length, and polarization mode on the performance of multi-channel InSAR imaging at the sea surface, as well as the variation of interferometric phases, is comprehensively investigated through simulations. This study lays the groundwork for subsequent research and engineering applications.
AB - Multi-channel InSAR facilitates the retrieval of high-accuracy elevation information of the sea surface through phase analysis. This paper adopts an improved sea surface InSAR imaging model based on multi-channel InSAR, considering the dynamic characteristics of ocean elements and the sea surface. Echo parameters of the sea surface at each azimuth are recalculated to better reflect real sea surface conditions. The analysis primarily focuses on multi-channel InSAR technology for sea surface imaging, establishing a stochastic sea surface model that incorporates ocean wind field elements. The impact of various factors such as wind direction, wind speed, radar frequency, baseline length, and polarization mode on the performance of multi-channel InSAR imaging at the sea surface, as well as the variation of interferometric phases, is comprehensively investigated through simulations. This study lays the groundwork for subsequent research and engineering applications.
KW - Analysis of Sea Surface Imaging Parameters
KW - InSAR Imaging
KW - Multi-Channel
KW - Stochastic Sea Surface Modeling
UR - https://www.scopus.com/pages/publications/85208806712
U2 - 10.1109/IGARSS53475.2024.10642841
DO - 10.1109/IGARSS53475.2024.10642841
M3 - 会议稿件
AN - SCOPUS:85208806712
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 11308
EP - 11312
BT - IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2024
Y2 - 7 July 2024 through 12 July 2024
ER -