Robust Distributed-target-based Calibration Method for Polarimetric SAR Using Spherically Truncated Covariance Matrix

Robust Distributed-target-based Calibration Method for Polarimetric SAR Using Spherically Truncated Covariance Matrix

Blog Article

Conventional distributed-target-based polarimetric calibration algorithms estimate polarimetric distortions by assuming that the measured spatially averaged covariance matrix takes a uma sound lantern specific form.However, when the underlying surface contains targets that do not satisfy the assumptions employed by those algorithms, the averaged covariance matrix may deviate from the desired form.As a result, poor estimates of distortion parameters may yield.It is known that spherically truncated covariance matrix is robust to outliers.

Thus, we introduce it to the polarimetric SAR calibration routine.Experiment results on the airborne emtek 2113 SAR data confirm that this method can effectively reduce the uncertainty of distortion estimates, hence improve the robustness of the calibration.