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Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, autofocusing, moving targets, and compressed sensing

Mujdat Cetin, Ivana Stojanovic, Ozben Onhon, Kush Varshney, Sadegh Samadi, William Clem Karl, Alan S. Willsky
2014 IEEE Signal Processing Magazine  
At Boston University, she worked on sparse signal reconstruction and compressed sensing application to synthetic aperture radar imaging and biomedical signal processing.  ...  T his article presents a survey of recent research on sparsity-driven synthetic aperture radar (SAR) imaging.  ...  The t% -average mutual coherence, , t% n has been proposed as a measure more closely related to the average reconstruction performance of sparsity-driven SAR reconstruction [47] where t% f denotes the  ... 
doi:10.1109/msp.2014.2312834 fatcat:47honwuywjgvnazjflqllmu7fm

SAR Image Autofocusing using Wirtinger calculus and Cauchy regularization [article]

Zi-Yao Zhang, Odysseas Pappas, Alin Achim
2020 arXiv   pre-print
In this paper, an optimization model using Cauchy regularization is proposed for simultaneous SAR image reconstruction and autofocusing.  ...  The proposed method is demonstrated to give impressive autofocusing results by conducting experiments on both simulated scene and real SAR image.  ...  INTRODUCTION Synthetic aperture radar (SAR) is capable of acquiring data in all kinds of weather and lighting conditions.  ... 
arXiv:2012.09772v1 fatcat:zs2buhrerbcsvgxcoszysbjtbu

SAR moving object imaging using sparsity imposing priors

N. Özben Önhon, Müjdat Çetin
2017 EURASIP Journal on Advances in Signal Processing  
sparsity-driven approach for joint image reconstruction and autofocusing in such a spatially constrained setting.  ...  Synthetic aperture radar (SAR) returns from a scene with motion can be viewed as data from a stationary scene, but with phase errors due to motion.  ...  Acknowledgements This work was partially supported by the Scientific and Technological Research Council of Turkey under Grant 105E090, and by a Turkish Academy of Sciences Distinguished Young Scientist  ... 
doi:10.1186/s13634-016-0442-z fatcat:ad54sljnkzgxxewaxzl5lhuczi

Autofocused Spotlight SAR Image Reconstruction of Off-Grid Sparse Scenes

Sedat Camlica, Ali Cafer Gurbuz, Orhan Arikan
2017 IEEE Transactions on Aerospace and Electronic Systems  
Synthetic aperture radar (SAR) has significant role in remote sensing.  ...  In this paper, a sparsity-based technique is developed for autofocused spotlight SAR image reconstruction that can correct phase errors due to uncompensated platform motion and provide robust images in  ...  INTRODUCTION Synthetic aperture radar (SAR) [1] provides highresolution images of ground reflectivity by processing multiple returns acquired on a flightpath of its platform effectively synthesizing  ... 
doi:10.1109/taes.2017.2675138 fatcat:z3r5pqilbvh4nnlxzf5oy5ooxi

Table of Contents [EDICS]

2021 IEEE Transactions on Computational Imaging  
Yazici, and Y. C. Eldar Plug-and-Play Synthetic Aperture Radar Image Formation Using Deep Priors . . . . . M. B. Alver, A.  ...  Tringe Through-the-Wall Radar Imaging Based on Bayesian Compressive Sensing Exploiting Multipath and Target Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tci.2022.3143315 fatcat:ul2dbyjijvh7ha44zeuftxanfi

Sparse Regularization with a Non-Convex Penalty for SAR Imaging and Autofocusing

Zi-Yao Zhang, Odysseas Pappas, Igor G. Rizaev, Alin Achim
2022 Remote Sensing  
In addition to the synthetic scene employed, the other SAR images focus on the sea surface, with two being real images with ship targets, and another two being simulations of the sea surface (one of them  ...  In this paper, SAR image reconstruction with joint phase error estimation (autofocusing) is formulated as an inverse problem.  ...  Introduction Synthetic aperture radar (SAR) has become one of the most-employed modalities in the field of remote sensing, largely due to its capability to collect data in all kinds of weather and lighting  ... 
doi:10.3390/rs14092190 fatcat:32gadn2fizbbbn4l3vcesjao7q

Inverse Synthetic Aperture Radar Imaging: A Historical Perspective and State-of-the-Art Survey

Risto Vehmas, Nadav Neuberger
2021 IEEE Access  
INDEX TERMS Inverse synthetic aperture radar, radar imaging, radar signal processing, motion compensation, image reconstruction.  ...  Inverse synthetic aperture radar (ISAR) is an imaging technique that uses the motion of a target to obtain a high-resolution radar image of it.  ...  When the motion of a moving target (instead of just the radar with regard to the ground surface) is used to create the synthetic aperture, the imaging technique is called inverse synthetic aperture radar  ... 
doi:10.1109/access.2021.3104799 fatcat:tqzllgeaifaqdl6o4krrxojd4a

Displaced Sensor Automotive Radar Imaging [article]

Guohua Wang, Kumar Vijay Mishra
2020 arXiv   pre-print
For the high-resolution coherent imaging, we develop a method that automatically estimates the synchronization error and performs displaced radar imaging by exploiting sparsity-driven recovery models.  ...  For the non-coherent mode, which offers a compromise between low computational load and improved localization, we exploit the block sparsity of range profiles for signal reconstruction to avoid direct  ...  This makes the phase uncertainty different from the conventional phase errors encountered in autofocusing problems of synthetic aperture radar (SAR) imaging [46] .  ... 
arXiv:2010.04085v1 fatcat:xqc2gyt22ngtnbcqfcvbztsasq

Table of contents

2020 IEEE Transactions on Image Processing  
Doster 1259 Jointly Using Low-Rank and Sparsity Priors for Sparse Inverse Synthetic Aperture Radar Imaging ..................... ........................................................................  ...  Sun 4709 Compressive Radar Imaging of Stationary Indoor Targets With Low-Rank Plus Jointly Sparse and Total Variation Regularizations ........................................................... V.  ...  Lin, and Zhang, Y. Tian, K. Wang, W. Zhang, and F.-  ... 
doi:10.1109/tip.2019.2940373 fatcat:i7hktzn4wrfz5dhq7hj75u6esa

2020 Index IEEE Transactions on Image Processing Vol. 29

2020 IEEE Transactions on Image Processing  
Sanders, T., +, TIP 2020 351-359 Jointly Using Low-Rank and Sparsity Priors for Sparse Inverse Synthetic Aperture Radar Imaging.  ...  ., +, TIP 2020 2666-2675 Fast Sparse Aperture ISAR Autofocusing and Imaging via ADMM Based Sparse Bayesian Learning.  ... 
doi:10.1109/tip.2020.3046056 fatcat:24m6k2elprf2nfmucbjzhvzk3m

2019 Index IEEE Transactions on Geoscience and Remote Sensing Vol. 57

2019 IEEE Transactions on Geoscience and Remote Sensing  
and Hanssen, R.F., Incorporating Temporary Coherent Li, X., Yeo, T.S., Yang, Y., Chi, C., Zuo, F., Hu, X., and Pi, Y., Refo-cusing and Zoom-In Polar Format Algorithm for Curvilinear Spotlight SAR Imaging  ...  ., and Drake, V.A., Insect Biological Parameter Estimation Based on the Invariant Target Parameters of the Scattering Matrix; TGRS Aug. 2019 6212-6225 Hu, C., see Zhang, M., TGRS Sept. 2019 6666-6674  ...  ., +, TGRS June 2019 3512-3527 Backprojection Subimage Autofocus of Moving Ships for Synthetic Aperture Radar.  ... 
doi:10.1109/tgrs.2020.2967201 fatcat:kpfxoidv5bgcfo36zfsnxe4aj4

An Overview of Advances in Signal Processing Techniques for Classical and Quantum Wideband Synthetic Apertures [article]

Peter Vouras, Kumar Vijay Mishra, Alexandra Artusio-Glimpse, Samuel Pinilla, Angeliki Xenaki, David W. Griffith, Karen Egiazarian
2022 arXiv   pre-print
Rapid developments in synthetic aperture (SA) systems, which generate a larger aperture with greater angular resolution than is inherently possible from the physical dimensions of a single sensor alone  ...  In particular, we cover the theoretical framework and practical underpinnings of wideband SA radar, channel sounding, sonar, radiometry, and optical applications.  ...  More recently, autofocusing techniques based on compressed sensing [43] , blind deconvolution [44] , and deep learning [45] have been proposed.  ... 
arXiv:2205.05602v1 fatcat:74vr5wq6zjcjdf7wtitpbbfquu

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., and Foerster, S  ...  ., +, JSTARS Dec. 2014 4806-4817 Spaceborne Radar Imaging of Maritime Moving Targets With the Cosmo-SkyMed SAR System.  ...  ., +, JSTARS Feb. 2014 531-542 Multi-temporal Synthetic Aperture Radar Metrics Applied to Map Open Water Bodies.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing [article]

Ping Lang, Xiongjun Fu, Marco Martorella, Jian Dong, Rui Qin, Xianpeng Meng, Min Xie
2020 arXiv   pre-print
Traditional radar signal processing (RSP) methods have shown some limitations when meeting such requirements, particularly in matters of target classification.  ...  Modern radar systems have high requirements in terms of accuracy, robustness and real-time capability when operating on increasingly complex electromagnetic environments.  ...  Several ML-based techniques have been developed for radar image processing, particularly for what concerns Synthetic Aperture Radar (SAR) and Inverse Synthetic Aperture Radar (ISAR).  ... 
arXiv:2009.13702v1 fatcat:m6am73324zdwba736sn3vmph3i

Table of Contents

2021 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS  
SYNTHETIC APERTURE RADAR IMAGES OF THE CALIFORNIA INNER SHELF REGION Samantha Furtney, Roland Romeiser, Hans Graber, University of Miami -Rosenstiel School of Marine and Atmospheric Science, United States  ...  OPTICAL AND SYNTHETIC APERTURE RADAR EARTH OBSERVATIONS Hazhir Bahrami, University of Tehran, Iran; Saeid Homayouni, Centre Eau Terre Environnement, Institut National de la Recherche Scientifique, Canada  ... 
doi:10.1109/igarss47720.2021.9553380 fatcat:zm7sioez6vgblpj25frkkxtfc4
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