Weighted Kalman filter phase unwrapping algorithm based on inSAR image

Authors

  • Man Yan
  • Lifen Wang

Keywords:

Phase unwrapping, Weighted Kalman filter, InSAR, Error propagation

Abstract

The Kalman filter deals simultaneously with phase unwrapping and noise elimination procedure. But the errors produced by the original radar signal and post-processing can cause phase discontinuity so that the unwrapped result is not accurate. Therefore, the weighted Kalman filter phase unwrapping algorithm based on InSAR image is proposed. Through the low-quality region where the wrapped phase is masked, the Kalman filter phase unwrapping algorithm is implemented in the high-quality region. When the high-quality region is correctly unwrapped, the weighted Kalman filter phase unwrapping algorithm is implemented in masking off the low-quality region, and as a consequence a reliable result is obtained. In this paper InSAR data is chosen for performing the experiment, and for comparison with both a network flow algorithm and a quality map guided algorithm. It is subsequently verified that the proposed algorithm is effective and reliable.

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Published

2013-11-25

Issue

Engineering Review, Vol. 33, No. 3

Section

Articles

License

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