Time series InSAR technique can be used to obtain the deformation of buildings, and its application in the bridge deformation monitoring is important to bridge health monitoring due to many profits of space remote sensing. However, the present phase unwrapping methods of time series InSAR make many errors in deformation monitoring of the cable-stayed bridge. Thus it is difficult to acquire the reasonable deformation results of the bridge. This work proposes a new phase unwrapping algorithm based on bipartite graph matching with partitioned residues. After generating the constrained Delaunay triangulation network, the found residues are then partitioned. Finally, the bipartite graph matching algorithm is used to get the optimal connection of positive and negative residues, and the unwrapped phase is acquired by integration of wrapped phase gradient field. The results, tested on real SAR images of the Dongtinghu Bridge, confirm the effectiveness and reliability of the algorithm.
DUAN Wei
,
LÜ Xiaolei
. A new phase unwrapping algorithm of time series InSAR for large bridges[J]. Journal of University of Chinese Academy of Sciences, 2019
, 36(2)
: 251
-258
.
DOI: 10.7523/j.issn.2095-6134.2019.02.013
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