电波科学学报2012，Vol.27Issue(6)：1116-1123,8.
基于改进粒子群算法的二维相位解缠方法
Two-dimensional phase unwrapping method based on improved particle swarm optimization
摘要
Abstract
Branch-cut is one of the most important approaches for the phase unwrapping, which is a key process for the data elevation in the interferometric syn thetic aperture radar (InSAR). Generally, the shorter the length of the branch-cut, the better the result of phase unwrapping. Therefore, how to determine the length of the branch cut becomes very important in this kind of branch-cut-based approaches. In this paper, a novel method for optimizing the length of the branch-cut is presented based on particle swarm optimization(PSO) algorithm, which has already been successfully applied to find the shortest path in the traveling salesman problem (TSP) theory. In order to remedy the local convergence problem, the mutation operator of the genetic algorithm is further introduced and combined with the PSO al gorithm. Compared to the branch-cut of Goldstein, this method can effectively reduce the length of branch-cut, and also avoid the "isolated island phenomenon" in the unwrapping process. Finally, the effectiveness and feasibility of the proposed method have been verified through both the simulated and experimental data.关键词
干涉合成孔径雷达/相位解缠/枝切法/粒子群算法Key words
InSAR/phase unwrapping/branch-cut/particle swarm optimization分类
信息技术与安全科学引用本文复制引用
张妍,冯大政,曲小宁..基于改进粒子群算法的二维相位解缠方法[J].电波科学学报,2012,27(6):1116-1123,8.基金项目
基金项目：国家自然科学基金 （）
