Phase Unwrapping Algorithm Based on Unscented Information Filtering

Abstract

The invention discloses a phase unwrapping algorithm based on UIF (unscented information filtering). The phase unwrapping algorithm comprises the following steps of firstly, establishing an UIF phase unwrapping algorithm recursive state estimation model, utilizing a phase gradient estimation method based on an AMPM (amended matrix pencil model) to obtain the phase gradient information required by the recursive state estimation model, and utilizing an LEVENBERG-MARQUARDT method to optimize the recursive state estimation model, so as to improve the algorithm convergence; introducing a heapsort quick mass map guide strategy, using the adjacent wrapping pixel of the unwrapped pixel as a heap array of a to-be-unwrapped pixel, and adjusting the heap array as the maximum heap according to the quality value of the to-be-unwrapped pixel; in each unwrapping step, utilizing the UIF phase unwrapping algorithm recursive state estimation model to unwrap the optimum to-be-unwrapped pixel at the root node of the heap array, deleting the pixel from the heap array, and adjusting the heap array as the maximum heap, until the phases of all wrapped pixels are unwrapped. The phase unwrapping algorithm has the characteristics that the accuracy is higher, and the stability is higher.

Description

technical field [0001] The invention relates to the field of interferometric phase unwrapping algorithms in information filtering applications, in particular to a phase unwrapping algorithm based on odorless information filtering. Background technique [0002] Interferometric synthetic aperture radar (InSAR) can obtain three-dimensional surface information and elevation change information with high precision and high reliability, and is widely used in land surveying and mapping, ocean monitoring, volcano monitoring and earthquake detection and other fields. Interferometric phase unwrapping is a particularly critical link in the application of Interferometric Synthetic Aperture Radar (lnSAR) technology, and its phase unwrapping accuracy directly affects the height measurement accuracy of Interferometric Synthetic Aperture Radar (InSAR) system, so the issue of interferogram unwrapping has received more and more attention . The phase unwrapping technique can recover the real i...

AI Technical Summary

Problems solved by technology

The phase unwrapping technique can recover the real interferometric phase from the main value interval of the phase mapped by the modulus 2π of the interferogram, and is widely used in digital holographic microscopy, magnetic resonance imaging processing, speckle imaging, optical interferometry, adaptive optics, and synthetic aperture radar interferometry In the field of measurement and other fields, the current phase unwrapping algorithms based on data fusion mainly include the extended Kalman filter phase unwrapping algorithm (EKFPU) and the unscented Kalman filter phase unwrapping algorithm (UKFPU). Although these algorithms improve the accuracy of the phase unwrapping algorithm, the accuracy still to be further improved

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