TY - JOUR
T1 - Spaceborne SAR Terrain Matching Curved Imaging Method and Satellite Demonstration
T2 - (I) Curved Geometric Configuration
AU - Chen, Ke
AU - Wang, Yan
AU - Wang, Xuan
AU - Huang, Jinyang
AU - Liu, Yifeng
AU - Liu, Ziheng
N1 - Publisher Copyright:
© 1980-2012 IEEE.
PY - 2025
Y1 - 2025
N2 - The spaceborne synthetic aperture radar (SAR) terrain matching curved imaging is a mode proposed for efficiently imaging the long curved terrains, e.g., coastlines and river banks in a high resolution. The key feature is the employment of a curved imaging swath matched with the orientations of the long curved terrains. However, due to the complexity of long curved terrain, the target illumination time has a violent variation, tending to cause a large fluctuation of azimuth resolution within a single imaging. In this article, a new geometric configuration optimization method is proposed to achieve the uniform azimuth resolution by elaborately controlling the beam in a complex nonlinear way while tracking the terrain orientation. The main technical contributions are twofold: first, a predict-grow beam control model is built to continuously adjust the target illumination time thereby mitigating the azimuth resolution fluctuation. Second, a stepwise solving method is proposed to obtain the specific beam pointing sequence along the long curved terrain satisfying the physical restrictions of beam steering. The effectiveness of the presented approaches is verified via the computer simulations and the real data experiment conducted by the SmartSat-X1 satellite.
AB - The spaceborne synthetic aperture radar (SAR) terrain matching curved imaging is a mode proposed for efficiently imaging the long curved terrains, e.g., coastlines and river banks in a high resolution. The key feature is the employment of a curved imaging swath matched with the orientations of the long curved terrains. However, due to the complexity of long curved terrain, the target illumination time has a violent variation, tending to cause a large fluctuation of azimuth resolution within a single imaging. In this article, a new geometric configuration optimization method is proposed to achieve the uniform azimuth resolution by elaborately controlling the beam in a complex nonlinear way while tracking the terrain orientation. The main technical contributions are twofold: first, a predict-grow beam control model is built to continuously adjust the target illumination time thereby mitigating the azimuth resolution fluctuation. Second, a stepwise solving method is proposed to obtain the specific beam pointing sequence along the long curved terrain satisfying the physical restrictions of beam steering. The effectiveness of the presented approaches is verified via the computer simulations and the real data experiment conducted by the SmartSat-X1 satellite.
KW - Data acquisition
KW - geometric configuration
KW - spaceborne synthetic aperture radar (SAR),
KW - terrain matching curved imaging
KW - uniform azimuth resolution
UR - https://www.scopus.com/pages/publications/105014527901
U2 - 10.1109/TGRS.2025.3602103
DO - 10.1109/TGRS.2025.3602103
M3 - Article
AN - SCOPUS:105014527901
SN - 0196-2892
VL - 63
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
M1 - 5219317
ER -