NDLI: Accurate estimation of stitching error for high-resolution multi-sub-bands SAR system with image sharpness analysis

Content Provider	IET Digital Library
Author	Chen, Jie Wang, Kai Yang, Wei
Abstract	Multi-sub-bands stitching technique is an effective method to achieve ultra-high range resolution in synthetic aperture radar (SAR) system. However, sub-bands stitching error results in artefacts in multi-sub-bands SAR images, e.g. defocused targets, higher sidelobes, which seriously degrade SAR image quality and cannot be mitigated by weighting function. A novel stitching error estimation method was presented. The stitching error is modelled by regarding phase error as function of range frequency, which will be estimated and compensated to reach the maximum image sharpness. First, amplitude balance is applied to single look complex SAR image in range frequency domain. Subsequently, based on image sharpness, an iterative optimisation algorithm is designed to estimate and compensate the stitching phase error. Finally, experimental results using both real RADARSAT-2 and airborne SAR dataset validate proposed method perform well in arbitrary scenes, and it outperforms the existing methods.
Starting Page	1948
Ending Page	1950
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 23, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/23
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2016.3087
Journal	Electronics Letters
Publisher Date	2016-10-20
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Airborne SAR Dataset Amplitude Balance High-resolution Multi SubBand SAR System Image Resolution Image Sharpness Analysis Interpolation And Function Approximation Iterative Method Iterative Optimisation Algorithm Multi SubBand Stitching Technique Novel Stitching Error Estimation Method Numerical Analysis Optical, Image And Video Signal Processing Optimisation Optimisation Technique Radar Equipment Radar Imaging Range Frequency Function Real RADARSAT-2 Dataset Synthetic Aperture Radar Synthetic Aperture Radar System System And Application Ultra-high Range Resolution
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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