Journal of Systems Engineering and Electronics
(Indexed by SCI, EI)
Radar has found a wide range of applications in the past, such as target detection and tracking, surveillance, remote sensing, and more recently in the rapidly developing area of robotics and autonomous systems. With advances in both signal processing and hardware design, more flexible (resolution & swath) radar working modes with better performance have been proposed, together with new theories and methods for advanced radar imaging and processing. Moreover, with the deployment of a large number of different types of radar systems, radar image processing in the remote sensing area has entered the era of big data.
Given its great success for traditional optical images, the intelligent processing technology has attracted more and more attention and has been developing very quickly in radar image interpretation, especially for target detection and classification. Although the performance of intelligent processing is better than that of the traditional methods, complex target scattering and unique characteristics of radar data demand tailor-made solutions of their own for further improved performance. This special section is designed to report cutting-edge models and methods for advanced radar imaging and intelligent processing.
Scope of Topics
This special section invites both review articles and original contributions on the latest developments in advanced radar imaging algorithms and intelligent processing methods. The topics of interest include, but are not limited to
1．Advanced radar system design and working modes,
2．New theories and methods for advanced radar imaging,
3．Moving target detection and tracking algorithms with radar data,
4．Intelligent processing methods and algorithms for big radar data,
5．Robust intelligent processing models for information extraction (scene classification, target recognition, semantic segmentation, etc.)
Authors should prepare papers according to the format requirements of the Journal of Systems Engineering and Electronics, with reference to the instructions given at http://www.jseepub.com, and submit the Word version of the complete manuscript through the online submission system. The title format should be “Title (Special Section on Advanced Radar Imaging and Intelligent Processing)” when submitting the paper.
Manuscript Due: August 31th, 2022
Final Review Notification: October 30th, 2022
Possible Publication: December 31th, 2022
Prof. Jie Chen
Beihang University, Beijing, China
Jie Chen was born in 1973. He received his B.S. and Ph.D. degrees in information and communication engineering from Beihang Univerisity, Beijing, China, in 1996 and 2002, respectively. Since 2004, he has been an associate professor with the School of Electronics and Information Engineering, Beihang University. From 2009 to 2010, he was a visiting researcher at the School of Mathematics and Statistics at the University of Sheffield, UK, where he was involved in the research of ionospheric effects of low-frequency space radars that measure forest biomass and electron density in the ionosphere. Since 2011, he has been a professor with the School of Electronics and Information Engineering, Beihang University. He has authored or co-authored more than 100 peer-reviewed papers on synthetic aperture radar (SAR). His research interests include system design and imaging formation for high resolution wide swath spaceborne SAR, the theory of integrated image formation algorithm of spaceborne multimode SAR data, and the theory and method of improving the image quality of spaceborne SAR.
Prof. Maurizio Migliaccio
Parthenope University of Naples, Naples, Italy
Maurizio Migliaccio was born in 1962. He received his Laurea degree in electronic engineering from the University of Naples Federico II, Naples, in 1987. Since 2005, he has been a full professor of electromagnetics with Parthenope University of Naples. Since 2013, he has been an affiliated full professor with Nova Southeastern University, Fort Lauderdale, USA. He is an IEEE Fellow and an Associate Editor of IEEE Transactions of Geoscience and Remote Sensing and International Journal of Remote Sensing. He has authored or co-authored more than 150 peer-reviewed journal papers on remote sensing and applied electromagnetics. His research interests include remote sensing for marine and coastal applications, polarimetry, inverse problem for resolution enhancement, and reverberating chambers.
Dr. Wei Liu
University of Sheffield, Sheffield, UK
Wei Liu received his B.Sc. and LLB. degrees from Peking University, China, in 1996 and 1997, respectively, MPhil degree from the University of Hong Kong in 2001, and Ph.D. degree from the School of Electronics and Computer Science, University of Southampton, UK, in 2003. He then worked as a postdoc first at Southampton and later at Imperial College London. Since September 2005, he has been with the Department of Electronic and Electrical Engineering, University of Sheffield, UK, first as a lecturer and then a senior lecturer. He has published more than 350 journal and conference papers, five book chapters, and two research monographs, Wideband Beamforming: Concepts and Techniques (by John Wiley, 2010) and Low-Cost Smart Antennas (by Wiley-IEEE, 2019). His research interests cover a wide range of topics in signal processing, with a focus on sensor array signal processing and its various applications, such as robotics and autonomous systems, human computer interface, radar, sonar, satellite navigation, and wireless communications. He is a member of the Digital Signal Processing Technical Committee of the IEEE Circuits and Systems Society (Secretary from May 2020) and the Sensor Array and Multichannel Signal Processing Technical Committee of the IEEE Signal Processing Society (Chair from January 2021). He was an Associate Editor for IEEE Trans. on Signal Processing (2015–2019) and IEEE Access (2016–2021), and is currently an editorial board member of Frontiers of Information Technology and Electronic Engineering and Journal of The Franklin Institute.
Prof. Cheng Hu
Beijing Institute of Technology, Beijing, China
Cheng Hu was born in 1981. He received his B.S. degree in electronic engineering from the National University of Defense Technology, Changsha, China, in 2003, and Ph.D. degree in target detection and recognition from Beijing Institute of Technology (BIT), Beijing, China, in 2009. He was a visiting research associate with the University of Birmingham, Birmingham, U.K. from 2006 to 2007. Since 2009, he has been with the School of Information and Electronics, BIT, where he became a full professor in 2014. He is currently the Vice Director of the Radar Research Laboratory, BIT. He has authored over 100 SCI-indexed journal articles and over 100 conference articles. His main research interests include new concept synthetic aperture radar imaging, biological detection radar system, and signal processing.
Prof. Xian Sun
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
Xian Sun was born in 1981. He received his B.Sc. degree from Beihang University, Beijing, China, in 2004. He received his M.Sc. and Ph.D. degrees from the Institute of Electronics, Chinese Academy of Sciences, Beijing, China, in 2009. He is currently a professor with the Aerospace Information Research Institute, Chinese Academy of Sciences, China. His research interests include computer vision, geospatial data mining, and remote sensing image understanding. He is an IEEE Senior Member, the co-lead of IEEE GRSS WG on Machine/Deep Learning for Image Analysis (WG-MIA), a Guest Editor of JSTARS for several special issues, and a Section Editor of Remote Sensing. He is the Chief Executive Chairman of Gaofen Challenge on High-resolution Earth Observation Image Interpretation.
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