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

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          Abstract

          Conventional distributed-target-based polarimetric calibration algorithms estimate polarimetric distortions by assuming that the measured spatially averaged covariance matrix takes a 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 SAR data confirm that this method can effectively reduce the uncertainty of distortion estimates, hence improve the robustness of the calibration.

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          Author and article information

          Journal
          Journal of Radars
          Chinese Academy of Sciences
          01 December 2016
          : 5
          : 6
          : 701-710
          Affiliations
          [1 ] ①(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China) ②(National Key Laboratory of Science and Technology on Microwave Imaging, Beijing 100190, China) ③(University of Chinese Academy of Sciences, Beijing 100049, China)
          [2 ] ④(Beijing University of Chemical Technology, Beijing 10029, China)
          Article
          209d69758f3b44aeb96ce8b9f90506a4
          10.12000/JR16138

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Categories
          Technology (General)
          T1-995

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