YANG Lei~1, ZHAO Yong-jun~. Redundancy Removal Algorithm in Minimum Spanning Tree Phase Unwrapping for Interferometric SAR[J]. Journal of Remote Sensing, 2006, (6): 879-884. DOI: 10.11834/jrs.200606129.
Redundancy Removal Algorithm in Minimum Spanning Tree Phase Unwrapping for Interferometric SAR
Goldstein’s branch-cut algorithm is now the most classical one of the known phase unwrapping algorithms.It connects residues with branch-cut lines to neutralize their charges so that the integral path(can’t) stride over the branches in the process of phase unwrapping
thus avoiding pervasion of error.However
due to improper connections
this always brings about excessive branch-cut lines
and even many lines form a closed ’dead area’ that can not be unwrapped
especially when many residues exist.This paper presents a removal redundancy algorithm in phase unwrapping based on minimum spanning tree theory
and its implementation is described in detail.It can accurately remove the redundancies of the branch-cut tree and ensure the effectiveness of phase unwrapping.