Optimized Region-growing Algorithm for InSAR Phase Unwrapping
优化的区域增长InSAR相位解缠算法

For region-growing phase unwrapping algorithm of interferometric synthetic aperture radar(InSAR),one of the key problems is to determine the seeds and the phase values of these seeds.In this paper,the optimized region-growing algorithm for 2-D phase unwrapping is discussed,involved determine the seeds and optimize the phase values of seeds.Taking the edge curves of interferogram as the seeds and analyzing the neighboring relationship of edge curves,the optimized phase values of seeds can be obtained by using the genetic algorithm.The experimental results show the computational complexity of the optimized region-growing algorithm is linearly correlative with the number of interferogram pixel.As a regional algorithm,the efficiency of the optimized region-growing algorithm can be improved by the paralleled processing.Compared with the branch-cut algorithm,the weighted least-squares algorithm and the network flow algorithm,the optimized region-growing algorithm has excellent coherence of fringe between the result image and original interferogram,as the network flow algorithm.But the computational complexity of this algorithm is far less than the network flow algorithm's.