A Cluster-Analysis-Based Efficient Multibaseline Phase-Unwrapping Algorithm

作者：Yu, Hanwen^*; Li, Zhenfang; Bao, Zheng

来源：IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(1): 478-487.

DOI：10.1109/TGRS.2010.2055569

• Cluster analysis (CA)
• multibaseline
• phase unwrapping
• synthetic aperture radar (SAR) interferometry (InSAR)

Multibaseline phase unwrapping is a critical processing procedure of multibaseline synthetic aperture radar interferometry (InSAR). It has an advantage over single-baseline phase unwrapping in discontinuous-terrain-height estimation. In this paper, the pixels' combination information of multiple InSAR interferograms with different baseline lengths is deeply investigated, and the term ambiguity vector is proposed to represent a pixel's ambiguity number of multiple interferograms. It is also revealed that pixels with the same ambiguity vector have an exclusive pattern among them. A fast cluster-analysis (CA)-based method is proposed for multibaseline phase unwrapping. In this method, all pixels are first clustered into different groups according to their patterns, and then, information of the cluster center is used to unwrap the phases of pixels group by group. Simulation results are shown to verify the effectiveness, efficiency, and noise robustness of CA multibaseline phase-unwrapping method.

• 出版日期2011-1
• 单位西安电子科技大学