NDLI: Iterative minimum entropy algorithm for refocusing of moving targets in SAR images

Content Provider	IET Digital Library
Author	Chen, Yichang Li, Gang Zhang, Qun
Abstract	In this study, an iterative minimum entropy algorithm is proposed for synthetic aperture radar (SAR) refocusing on moving targets with data of the defocused region of interest (ROI). The image entropy of the ROI data is modelled as a function of the phase compensation parameter. Then, an image entropy surrogate function is constructed to iteratively estimate the phase compensation parameter. With the convergence of iterative estimation of the phase compensation parameter, a refocused image of the moving target can be achieved. By directly operating on the small-size defocused ROI data, the computational burden is significantly reduced and most of the clutter is suppressed. Different from the existing ROI-based methods for SAR refocusing of moving targets, the proposed algorithm does not need any prior parameters. The performance of the proposed algorithm is demonstrated by using simulated data and real SAR data. Compared with some existing methods, the proposed method can produce slightly better-refocusing effect with less computational complexity.
Starting Page	1279
Ending Page	1286
Page Count	8
ISSN	17518784
Volume Number	13
e-ISSN	17518792
Issue Number	Issue 8, Aug (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/13/8
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2018.5558
Journal	IET Radar, Sonar & Navigation
Publisher Date	2019-04-09
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Better-refocusing Effect Computer Vision And Image Processing Technique Entropy Existing ROI-based Method Image Entropy Surrogate Function Iterative Estimation Iterative Method Iterative Minimum Entropy Algorithm Moving Target Optical, Image And Video Signal Processing Phase Compensation Parameter Prior Parameter Radar Equipment Radar Imaging Refocused Image SAR Data SAR Image SAR Refocusing Simulated Data Small-size Defocused ROI Data Synthetic Aperture Radar System And Application
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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