Measurement Uncertainty Analysis of a Twyman-Green Interferometer for Lens Testing

There is a growing demand for precision and high-quality optical objectives and lenses due to their numerous advantages and uses. The market for high precision objective lenses has tremendous potential for development and is a sector that is expanding quickly. <br/><br/>Measuring the aberrations of optical systems is an essential step in the...

Probabilistic Estimation of InSAR Displacement Phase Guided by Contextual Information and Artificial Intelligence

Phase unwrapping, also known as ambiguity resolution, is an underdetermined problem in which assumptions must be made to obtain a result in SAR interferometry (InSAR) time series analysis. This problem is particularly acute for distributed scatterer InSAR, in which noise levels can be so large that they are comparable in magnitude to the...

QUInSAR: Temporal Parameter and Ambiguity Estimation Using Recursive Least-Squares: A Methodology for Persistent Scatterer Interferometry

Parameter and ambiguity estimation in the temporal domain, for arcs of differential phase observations between two persistent scatterers (PS), is a critical part in Persistent Scatterer Interferometry (PSI). Deformation models, used as constraint in the parameter estimation, often do not capture the full extent of the deformation behaviour. This...

Phase discontinuity predictions using a machine-learning trained kernel

Phase unwrapping is one of the key steps of interferogram analysis, and its accuracy relies primarily on the correct identification of phase discontinuities. This can be especially challenging for inherently noisy phase fields, such as those produced through shearography and other speckle-based interferometry techniques. We showed in a recent...

Phase unwrapping algorithm using edge detection and statistical cost functions

Phase unwrapping algorithm for InSAR