Multibaseline Phase Unwrapping With a Refined Parametric Pure Integer Programming for Noise Suppression

Abstract

Multibaseline phase unwrapping (MBPU) is a key procedure of interferometric synthetic aperture radar (InSAR). However, phase noise is a factor still challenging the MBPU accuracy. This article presents a refined pure integer programming (RPIP)-based MBPU method. In this method, a new parameter is introduced through considering the statistical information of the interferometric phase, which is adopted to improve the tolerance of phase noise. We also provide an effective path for searching of the ambiguity set. Theoretical analysis and experimental results show that, compared with the PIP method, unwrapping errors of the RPIP method is reduced by 60%.