Prediction-based phase unwrapping for differential interferograms of coal mining areas using a stochastic medium model

ABSTRACT

This paper presents a novel phase unwrapping method for differential interferograms of coal mining areas, which takes full account of the mechanism of mining subsidence. The model uses a predicted deformation value for deformation caused by underground coal mining to assist the phase unwrapping and improve its accuracy. This method can overcome the defects of existing phase unwrapping algorithms that are not applicable to regions experiencing rapid deformation. The availability of the proposed method is first verified with noise-free simulated data, and then further tested with 3D laser scanning data and real synthetic aperture radar interferometry images. The results show that the prediction-based phase unwrapping method is able to realize phase unwrapping of differential interferograms covering coal mining areas that experience rapid deformation, and the results obtained are reasonable.

Additional information

Funding

This work was supported by the Fundamental Research Funds for the Central Universities under Grant number 2017BSCXB42