.png){kind=icon}
.png){kind=icon}
Return
Sequential Image Registration Algorithm Based on the PrePS Points Association for GNSS-Based InBSAR Systems
.png){kind=icon}
PRE
AI
DOI：10.1109/TGRS.2024.3486388.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Global navigation satellite system-based bistatic synthetic aperture radar interferometry (GNSS-based InBSAR) suffers from low image resolution, low signal-to-noise ratio (SNR), and accumulated satellite baselines because navigation satellites are used as transmitters. Therefore, traditional texture-based and leader image fixed image registration and persistent scatterer (PS) point selection algorithms cannot be adopted. In this article, a sequential image registration algorithm is proposed based on the preselected PS (prePS) point association for GNSS-based InBSAR systems. First, the prePS points are selected based on the coherence coefficient between theoretical and actual resolution cells. Then, image registration is achieved through prePS point association and subresolution offset estimation, and sequential registration is adopted to replace traditional leader image fixed registration. Finally, PS point selection and interferometric phase extraction are implemented based on the analysis of the resolution cells. Raw data from BeiDou navigation satellites are used to indicate the effectiveness of the proposed algorithm in GNSS-based InBSAR.
Keywords:
Image resolution
Image registration
Satellite navigation systems
Monitoring
Satellites
Radar polarimetry
Satellite broadcasting
Receivers
Coherence
Spaceborne radar
Global navigation satellite system-based bistatic synthetic aperture radar interferometry (GNSS-based InBSAR)
preselected persistent scatterer (prePS) point association
resolution cell analysis
sequential image registration
Journal
IF:
8.6
Papers:
2.1W
Citations:
10.7W