Abstract
With the development of state-of-the-art low earth orbit observation satellites, polarimetric synthetic aperture radar(SAR) images have been widely utilized. However, polarimetric signals are inevitably distorted by channel imbalance(CI) and interference between multiple channels, resulting in rapidly degraded quality of polarimetric SAR images. Therefore, several polarimetric calibration methods using a polarimetric active radar calibrator(PARC), which can provide different scattering matrices, have been developed. Nevertheless, errors generated by the performance of imperfect PARCs are inevitable, leading to significant errors of estimated CIs. In this study, we propose a framework for calibrating polarimetric SAR images, which consists of two stages: 1) coarse estimation of distortion parameters through a conventional method using three PARCs, and 2) fine estimation of CIs using particle swarm optimization and a single PARC. In simulations using polarimetric SAR images, we observed that our proposed method can more accurately calibrate polarimetric SAR images as compared to conventional methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: The Journal of Korean Institute of Electromagnetic Engineering and Science
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
