A Phase Unwrapping Method of Interferometric SAR Phase Image Based on Quality Map Guided Model
Interferometric synthetic aperture radar (SAR) has been widely used in remote sensing field, such as digital elevation data acquisition, and phase unwrapping is one of the key steps in interferometric measurement.The paper transfers phase unwrapping to the minimization of an energy function based on the quality map guided Markov Random Field model, and solves the Markov Random Field problem with the algorithm of sequence tree weight message transfer.The paper also proposes to restore the pixels with phase image of poor quality by minimum direction linear interpolation, that is, based on the position of the pixels of poor quality, the interpolation repair is made to them in the shortest direction, to achieve complete unwrapping.Experiments show that the proposed algorithm can unwrap complex phase images generated by the varied real terrain, compared with the unwrapping algorithm like Goldstein branch cut method and methods without the quality map.
remote sensing informationinterferometric synthetic aperture radar (InSAR)phase unwrappingdigital elevation modelMarkov Random Field
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NSTL
万方数据
维普
