Search engine for discovering works of Art, research articles, and books related to Art and Culture
Javascript must be enabled to continue!
Improved weighted least‐squares phase unwrapping method for interferometric SAR processing
View through CrossRef
Based on the study of existed least‐squares and weighted least‐squares phase unwrapping methods, an improved weighted least‐squares algorithm based on unwrapping phase error compensation is proposed. First, the conventional weighted least‐squares method is used to get the initial result of phase unwrapping. Then the unwrapping result is optimised by iterative compensation of phase unwrapping error. In addition, for the reasonable selection of the times of iteration, an iterative mechanism is designed to avoid the redundant or insufficient compensation caused by too many iterative times and too few. Compared with the traditional weighted least‐square method, by using the proposed method, the global influence of phase noise is constrained by weighted processing, and meanwhile, the accuracy of phase unwrapping is greatly improved by iterative error compensation. The simulation results confirm the superiority of the proposed method.
Institution of Engineering and Technology (IET)
Title: Improved weighted least‐squares phase unwrapping method for interferometric SAR processing
Description:
Based on the study of existed least‐squares and weighted least‐squares phase unwrapping methods, an improved weighted least‐squares algorithm based on unwrapping phase error compensation is proposed.
First, the conventional weighted least‐squares method is used to get the initial result of phase unwrapping.
Then the unwrapping result is optimised by iterative compensation of phase unwrapping error.
In addition, for the reasonable selection of the times of iteration, an iterative mechanism is designed to avoid the redundant or insufficient compensation caused by too many iterative times and too few.
Compared with the traditional weighted least‐square method, by using the proposed method, the global influence of phase noise is constrained by weighted processing, and meanwhile, the accuracy of phase unwrapping is greatly improved by iterative error compensation.
The simulation results confirm the superiority of the proposed method.
Related Results
Ground moving target indication with synthetic aperture radars for maritime surveillance
Ground moving target indication with synthetic aperture radars for maritime surveillance
The explosive growth of shipping traffic all over the World, with around three quarters of the total trade goods and crude oil transported by sea, has raised newly emerging concern...
Polarimetric differential SAR Interferometry with ground-based sensors
Polarimetric differential SAR Interferometry with ground-based sensors
Las técnicas de Interferometría Diferencial se basan en la combinación de varias imágenes SAR con distinta separación temporal y permiten la recuperación de las componentes lineale...
Three-stage training strategy phase unwrapping method for high speckle noises
Three-stage training strategy phase unwrapping method for high speckle noises
Deep learning has been widely used in phase unwrapping. However, owing to the noise of the wrapped phase, errors in wrap count prediction and phase calculation can occur, making it...
A hydrogeological approach in urban underground infrastructures
A hydrogeological approach in urban underground infrastructures
The competition for space in urban areas due to an exponential growth of population makes derground engineering plays a crucial role in the development of cities. Urban underground...
Get HyP3! SAR processing for everyone
Get HyP3! SAR processing for everyone
<p>Synthetic Aperture Radar (SAR), with its capability of imaging day or night, ability to penetrate dense cloud cover, and suitability for interferometry, is a robus...
Improved two-frequency temporal phase unwrapping method in fringe projection profilometry
Improved two-frequency temporal phase unwrapping method in fringe projection profilometry
Abstract
In three-dimensional (3D) measurement using fringe projection profilometry (FPP), noise introduced by the camera during fringe capture can cause phase errors in th...
Hydatid Disease of The Brain Parenchyma: A Systematic Review
Hydatid Disease of The Brain Parenchyma: A Systematic Review
Abstarct
Introduction
Isolated brain hydatid disease (BHD) is an extremely rare form of echinococcosis. A prompt and timely diagnosis is a crucial step in disease management. This ...
A Convolutional Neural Network Combined with Attributed Scattering Centers for SAR ATR
A Convolutional Neural Network Combined with Attributed Scattering Centers for SAR ATR
It is very common to apply convolutional neural networks (CNNs) to synthetic aperture radar (SAR) automatic target recognition (ATR). However, most of the SAR ATR methods using CNN...