Abstract: We propose a method to select interferometric SAR pairs for time series differential SAR Interferometry (D-InSAR) by using cluster analysis. In this approach, proper decorrelation factors are selected to construct a feature space, and decorrelation factors of all possible SAR interferometric pairs are mapped to the space. Thus, interferometric pair selection is converted to a problem of feature space clustering. A cluster algorithm is developed based on the principle of interferometric pair selection. This way, selected interferometric images corresponding to the clustering result are obtained. Experimental results show that the proposed approach is simple and effective.