Phase unwrapping method based on discontinuity adaptive markov random fields

doi:10.13474/j.cnki.11-2246.2020.0380

Abstract

Abstract: Interferometric synthetic aperture radar (InSAR) technology has been widely applied to digital elevation model (DEM) generation. Phase unwrapping, as one of key procedures in InSAR technique is related directly to the accuracy of DEM reconstruction. However, phase unwrapping method can not estimate the discontinuous phase due to the limitation of the phase continuity assumption, which reduces the accuracy of DEM generation in the mountainous area. To solve this problem, a phase unwrapping method based on discontinuity adaptive MRF (DA-MRF) is proposed in this paper, which can deal with discontinuous phase. Firstly, the energy function of DA-MRF is established which can keep the pixel pairs connected for the continuous phase while make the pixel pairs disconnected for the discontinuous phase adaptively. Then, the graph cuts method is used to optimize the energy function of DA-MRF to obtain the final result. The simulated and real data experiments both demonstrate that the proposed method has more powerful discontinuity persevering ability and is more applicable in DEM generation in the mountainous area, compared with other phase unwrapping methods.

Key words: interferometric synthetic aperture radar, phase unwrapping, discontinuity adaptive, Markov random fields, digital elevation model (DEM)

CLC Number:

P237

ZHOU Lifan, ZHANG Shiqi, XIA Yu, ZHONG Shan, GONG Shengrong. Phase unwrapping method based on discontinuity adaptive markov random fields[J]. Bulletin of Surveying and Mapping, 2020, 0(12): 6-10,26.

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