NDLI: Slope-compensated interferogram filter with ESPRIT for adaptive frequency estimation

Content Provider	IET Digital Library
Author	Li, Shijin Zhang, Shubi Gao, Yandong Zhang, Qiuzhao
Abstract	Interferometric phase filtering represents an indispensable step in interferometric synthetic aperture radar (InSAR) data processing. However, conventional filtering methods fail to make a balance between the noise elimination and phase preserving in strong noise environments or dense fringe regions. This in turn leads to an inaccurate interferometric phase. To overcome this problem, the authors introduce the concept of slope-compensated filter based on the local adaptive frequency estimation. This method uses the estimation of signal parameters via rotational invariance techniques (ESPRITs), based on the singular value decomposition of the correlation matrix and generalised eigenvalue solution for providing an accurate local fringe frequency. Meanwhile, the size of the estimation window is adaptively determined by the coherence coefficient, and the judgement and modification of the invalid frequency estimation are utilised to further improve the accuracy of the local fringe frequency. Moreover, the authors consider a two-stage with the back projection technique to further eliminate the noise residual and improve the filtering performance. The simulated and TerraSAR-X add-on for Digital Elevation Measurements (TanDEM) data sets are used to verify the effectiveness of the proposed method. The experimental results show that this method is capable of efficiently reducing the noise level as well as minimising the loss of the signal, outperforming other conventional methods.
Starting Page	1289
Ending Page	1294
Page Count	6
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 8, Jun (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5506
Journal	IET Image Processing
Publisher Date	2018-12-11
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Accurate Local Fringe Frequency Back Projection Technique Conventional Filtering Method Correlation Matrix Dense Fringe Regions Digital Elevation Measurement Data Sets Eigen Values And Eigen Function ESPRIT Estimation Window Filtering Method in Signal Processing Filtering Performance Filtering Theory Frequency Estimation Generalised Eigenvalue Solution Inaccurate Interferometric Phase Indispensable Step Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Interferogram Filter Interferometric Phase Filtering Interferometric Synthetic Aperture Radar Data Processing Invalid Frequency Estimation Local Adaptive Frequency Estimation Noise Elimination Noise Level Noise Residual Optical, Image And Video Signal Processing Radar Equipment Radar Imaging Radar Interferometry Radar Resolution Remote Sensing by Radar Rotational Invariance Technique Signal Parameter Singular Value Decomposition Slope-compensated Filter Statistics Strong Noise Environments Synthetic Aperture Radar System And Application
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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