The InSAR Absolute Phase Amid Singularities

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Authors: Simon Zwieback
Cited by: 0
References: 27

Abstract

The radar interferometric absolute phase is considered essential for estimating topography and displacements. However, the conventional definition—that absolute phase is proportional to the range difference—cannot be applied to general targets. Here, a universal observational definition is proposed, which is easiest to describe for differential interferometry: The absolute phase is determined by temporally unwrapping the phase as the intermediate secondary acquisition time sweeps from the primary to the secondary acquisition time. This absolute phase is typically not directly observable because a continuous series of observations is required. The absolute phase of a point target is proportional to the range difference, matching the conventional definition. For general targets undergoing cyclic change (returning to their initial state), the absolute phase may be nonzero and cannot be interpreted as a range difference. When a phase singularity (vanishing coherence) occurs at an intermediate time, the absolute phase becomes undefined, a situation termed an absolute phase singularity. Absolute phase singularities complicate absolute phase reconstruction through multifrequency techniques and through unwrapping multidimensional interferograms. They leave no trace in an interferogram, but unwrapping paths need to avoid those across which the absolute phase jumps by nonzero integer multiples of 2π. Mathematical analyses identify conditions for unwrapping-based reconstruction up to a constant, accounting for absolute phase singularities, undersampling and noise. The general definition of the absolute phase and the mathematical analyses enable a comprehensive appraisal of InSAR processing chains and support the interpretation of observations whenever low coherence engenders phase and absolute phase singularities.

Fields of Study & Subjects

Synthetic Aperture Radar (SAR) Applications and Techniques Advanced SAR Imaging Techniques Soil Moisture and Remote Sensing

Publication details

Journal / source
IEEE Transactions on Geoscience and Remote Sensing
Volume
64
Pages
1–14
Publication date
1 January 2026