NDLI: SAR imaging of multiple maritime moving targets based on sparsity Bayesian learning

Content Provider	IET Digital Library
Author	Zhang, Yun Mu, Huilin Xiao, Tian Jiang, Yicheng Ding, Chang
Abstract	Imaging of multiple maritime moving targets is a challenging task in the synthetic aperture radar (SAR) system owing to the fact that the complex target motion produces evident image defocusing. Given that the sparsity of ship targets in the SAR image, the authors propose a new imaging method of multiple maritime moving targets based on sparsity Bayesian learning. To avoid the overcomplete velocity dictionary with heavy computational burden, the Gaussian chirplet transform is exploited and improved based on the velocity constraint to estimate target Doppler parameters for the observation matrix construction. An observation model is established for imaging multiple ship targets. In the proposed method, the multiple ship target imaging task is formulated into the sparsity Bayesian framework, which provides a posterior density function for the target image and improves the imaging quality over the conventional methods based on the point estimate. The Bayesian compressive sensing (BCS) using a hierarchical form of the Laplace prior is applied to reconstruct the moving target image. Since BCS provides an estimation of the uncertainty in the reconstruction, the sea clutter can be well suppressed while the multiple targets are refocused. Simulations and experimental Gaofen-3 data are performed to verify the effectiveness of the proposed method.
Starting Page	1717
Ending Page	1725
Page Count	9
ISSN	17518784
Volume Number	14
e-ISSN	17518792
Issue Number	Issue 11, Nov (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-rsn/14/11
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-rsn.2020.0160
Journal	IET Radar, Sonar & Navigation
Publisher Date	2020-07-30
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Bayes Method Complex Target Motion Computer Vision And Image Processing Technique Evident Image Defocusing Geophysical Image Processing Geophysical Technique And Equipment Imaging Method Imaging Multiple Ship Targets Imaging Quality Instrumentation And Technique For Geophysical, Hydrospheric And Lower Atmosphere Research Moving Target Image Multiple Maritime Moving Targets Multiple Ship Target Imaging Task Multiple Targets Object Detection Optical, Image And Video Signal Processing Radar Equipment Radar Imaging SAR Image SAR Imaging Ships Sparsity Bayesian Framework Sparsity Bayesian Learning Statistics Synthetic Aperture Radar Synthetic Aperture Radar System Owing System And Application Target Doppler Parameter
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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