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Engineering Review : International journal for publishing of original researches from the aspect of structural analysis, materials and new technologies in the field of mechanical engineering, shipbuilding, fundamental engineering sciences, computer sciences, electrical engin, Vol. 33 No. 3, 2013.

Original scientific paper

Weighted Kalman filter phase unwrapping algorithm based on inSAR image

Man Yan
Lifen Wang

Full text: english PDF 700 Kb

page 227-231

downloads: 1.173

cite

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.

Keywords

Phase unwrapping; Weighted Kalman filter; InSAR; Error propagation

Hrčak ID:

111112

URI

https://hrcak.srce.hr/111112

Publication date:

25.11.2013.

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