Efficient Multi-frequency Phase Unwrapping Using Kernel Density Estimation

2-D phase unwrapping and instantaneous frequency estimation

Closed-form, robust and accurate multi-frequency phase unwrapping: frequency design and algorithm

A closed-form algorithm, named “concerto”, is proposed for phase-based distance estimation in multi-frequency phase unwrapping (MFPU) system. The concerto method consists of three coherent estimation stages,i.e., initial modified BW estimation, residual error estimation and LS estimation , each of which has a closed-form expression and cooperates closely with each other like a concerto. Due to ...

Multi-frequency Phase Unwrapping from Noisy Data: Adaptive Local Maximum Likelihood Approach

The paper introduces a new approach to absolute phase estimation from frequency diverse wrapped observations. We adopt a discontinuity preserving nonparametric regression technique, where the phase is reconstructed based on a local maximum likelihood criterion. It is shown that this criterion, applied to the multifrequency data, besides filtering the noise, yields a 2πQ-periodic solution, where...

Improving phase unwrapping techniques by the use of local frequency estimates

In multi-pass space-borne SAR interferometry, the two acquisitions often present low correlation levels and very noisy phase measurements which are incompatible with automatic phase unwrapping. Instead of dealing with many residues due to erroneous wrapped phase diierences, we propose to use the local frequency as measured by a spectral analysis algorithm presented in a previous paper 1]. For t...

Comparison of Local and Non-Local Methods in Covariance Matrix Estimation by Using Multi-baseline SAR Interferometry and Height Extraction for Principal Components with Maximum Likelihood Approach

By today, the technology of synthetic aperture radar (SAR) interferometry (InSAR) has been largely exploited in digital elevation model (DEM) generation and deformation mapping. Conventional InSAR technique exploits two SAR images acquired from slightly different angles, in which the information of elevation and deformation can be captured through processing of the phase difference of the image...