IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (Jan 2023)

A Bragg-Like Point Extraction Method for Co-polarization Channel Imbalance Calibration

  • Xingjie Zhao,
  • Yunkai Deng,
  • Hanglan Guo,
  • Xiuqing Liu,
  • Chunle Wang,
  • Guo Song

DOI
https://doi.org/10.1109/JSTARS.2023.3252014
Journal volume & issue
Vol. 16
pp. 3850 – 3866

Abstract

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Calibration by distributed targets is an important part of polarimetric calibration (PolCAL) without corner reflectors (CRs). Currently, both the correlation of HH and VV ($R_{\text{hhvv}}$) and the equivalent number of looks (ENL) constitute the common method for the extraction of Bragg-like points (BLPs) in order to calibrate the co-polarization channel imbalance $k$. However, strict assumptions about distributed targets and complex mathematical expressions regarding ENL limit the impact analysis of $k$ on $R_{\text{hhvv}}$ and ENL; thus, the fixed thresholds for $R_{\mathrm{hhvv}}$ and ENL can be obtained only by comparing the calibration errors with the CRs or simulated values in order to calibrate $k$ accurately. In some Earth observation and lunar exploration without CRs, the abovementioned conditions are not satisfied. In this article, a BLP extraction method is proposed for calibrating co-polarization channel imbalance $k$ in PolCAL. ${H}/{\bar{\alpha }}$ decomposition is utilized to deduce the specific scattering impacts of BLPs by different $k$ values first. Then, a dynamic selection method is proposed to reduce the influence of fixed thresholds and improve the extraction accuracy. Multiscene polarimetric synthetic aperture radar images from AIRSAR, ALOS, and GF-3 are utilized to verify the effectiveness of the proposed algorithm in the extraction of BLPs and the calibration results of $k$ obtained by applying the extracted BLPs.

Keywords