Coherence MAP Classification and Its Application in Two-Dimensional Phase Unwrapping
相关系数图分类及其在干涉SAR二维相位展开中的应用

Based on the analyzing of the relation between interferometric SAR coherence map classification and two-dimensional phase unwrapping, coherence map classification is applied in two-dimensional phase unwrapping. A K-mean and Markov random field combined classification algorithm is presented for the coherence map classification. The classified coherence map is used to confine the propagation of the local phase errors of low coherence regions during the two-dimensional phase unwrapping. The experiments on airborne X-band InSAR data show the validity of this approach.