Cluster Correction for Cluster Analysis-Based Multibaseline InSAR Phase Unwrapping

In recent years, multibaseline phase unwrapping (MBPU) has been widely studied, but it is still suffering from the problem of low noise robustness. view this, two cluster correction methods for cluster-analysis (CA)-based MBPU algorithms are presented to improve accuracy and effectiveness algorithm. first method, a suitable box centered on each pixel selected with highest frequency in taken as corrected which central belongs; second all pixels divided into core noncore according predefined density, then one that appears most frequently pixels. Experiments both simulated real datasets confirm proposed methods.