Abstract:

As a basic technique against the multi-baseline phase unwrapping problem, Chinese remainder theorem (CRT) restricts itself in the application of multi-baseline phase unwrapping due to its worse noise robustness. However, multi-baseline phase unwrapping algorithms based on the clusteranalysis are able to overcome the drawbacks of the traditional CRT method. Based on the cluster-analysis method in the CANOPUS algorithm, an L-∞-norm is employed to define the distance between two elements to decrease the production of very small clusters and the number of noise points so as to improve the cluster-analysis (CA) performance. Besides, the procedure of the CA method in the CANOPUS algorithm is changed to improve the efficiency of the method and decrease the consuming time of the algorithm. According to the experiments on a simulated and repeatpass real interferometric synthetic aperture radar (InSAR) dataset, the effectiveness and efficiency of the improved clusteranalysis method are tested.