Improved MCF Unwrapping Algorithm with Adaptive Chunking
Phase unwrapping is a key step for accurate differential interferometric mapping.The minimum cost network flow(MCF)algorithm is a commonly used algorithm in phase unwrapping algorithms.It has the advantage of high accuracy,can restrict the diffusion of residual point errors,and prefers to limit the errors to low coherence regions.However,its computational efficiency decreases with the increase in the number of residual points.The improved MCF algorithm can effectively improve the efficiency of the algorithm by chunking it,but the selection of the block size affects the final accuracy and efficiency.In this paper,an improved MCF phase unwrapping algorithm with adaptive chunking is proposed.The points with higher coherence are concentrated in the same chunk by selecting the appropriate partition block through adaptive optimization,so that the efficiency of the algorithm can be effectively improved without too much influence on the accuracy.
国家科技期刊平台
NSTL
万方数据
维普
