Special Session 5  会议特别专题 5

Synthetic Aperture Radar Signal, Information Processing Technology and Application

Description: Synthetic Aperture Radar (SAR), with its all-day, all-weather, and global observation capabilities, has become an indispensable device for Earth observation across diverse environmental conditions. Currently, SAR has achieved significant technological breakthroughs in the following critical aspects: resolution enhancement from meter-level to submeter-level, imaging mode evolution from conventional stripmap mode to advanced azimuth beam steering techniques like spotlight mode, system expansion from single-channel to multi-channel architectures, and polarization advancement from basic single-polarization to comprehensive full-polarization measurements. Without doubt, these progresses will expand SAR's observational dimensions across spatial, temporal, and polarization domains, ultimately enabling comprehensive multidimensional information acquisition, and achieving further breakthroughs in signal and information processing. Thus, this special session aims at studies covering SAR signal and information processing, and its applications in remote sensing. The integration of advanced SAR processing techniques—such as signal processing, image processing, and machine learning—is essential to promote and guide the further development and application of SAR technology.

Session organizers
Assoc. Prof. Sinong Quan, National University of Defense Technology, China
Assoc. Prof. Tao Zhang, Shanghai Jiao Tong University, China
Assoc. Prof. Huizhang Yang, Nanjing University of Science and Technology, China

The topics of interest include, but are not limited to:
▪ Advancing SAR Imaging
▪ SAR Imaging Jamming and Anti-jamming
▪ SAR/PolSAR Target Detection and Recognition
▪ Target Scattering Characteristic Analysis for SAR/PolSAR Images
▪ SAR/PolSAR Signal and Image Processing

Submission method
Submit your Full Paper (no less than 4 pages with two colums) or your paper abstract-without publication (200-400 words) via Online Submission System, then choose Special Session 5 (Synthetic Aperture Radar Signal, Information Processing Technology and Application)
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Introduction of Session organizers

Assoc. Prof. Sinong Quan, National University of Defense Technology, China

Sinong Quan is currently an Associate Professor with the College of Electronic Science and Technology, National University of Defense Technology. Dr. Quan has authored more than 60 papers in peer-reviewed journals, co-authored 3 books, and holds more than 10 patents, among many conference papers. He has won 3 provincial and ministerial scientific and technological progress awards. He is the guest editor of Remote Sensing, Electronics, and other international journals in the remote sensing field.
Dr. Quan currently serves as a Reviewer for the ISPRS JPRS, IEEE TGRS, IEEE TCSVT, IEEE TCOM and several other journals. His current research interests include SAR\PolSAR information processing, SAR\PolSAR imaging and recognition, and machine learning.



Assoc. Prof. Tao Zhang, Shanghai Jiao Tong University, China

Tao Zhang received the Ph.D degree in control science and engineering from Shanghai Jiao Tong University in 2019. From 2017 to 2018, he was with the Department of Geoinformatics, The KTH Royal Institute of Technology, as a joint PhD student. From 2019 to 2021, he worked as a Post Doctoral in the Department of Electronics, Tsinghua. He is currently working as an Associate Professor in the Shanghai Key Laboratory of Intelligent Sensing and Recognition, Shanghai Jiao Tong University. His research work focuses on PolSAR/SAR image processing, object recognition, and machine learning. So far, he has published more than 60 journals. Particularly, he obtained the title of “Radar Future Stars” and the Best Report from Journal of Radar respectively in 2024 and 2023. As a student, he also got the Student Travel Grant from GRSS in 2019. Now, he is serving as a reviewer for many journals, such as IEEE TPAM, IEEE TIP, and IEEE TGRS.



Assoc. Prof. Huizhang Yang, Nanjing University of Science and Technology, China

Huizhang Yang is an associate professor at Nanjing University of Science and Technology. His research interests include radar imaging theory and methodologies, interference suppression techniques, radar interferometry, target detection algorithms, radiation source localization, and polarization radar systems. Over the past five years, he has published 28 peer-reviewed papers, including 11 first-author articles in top IEEE Transactions journals. He has hosted or participated in more than 10 research projects funded by the National Natural Science Foundation of China (NSFC), Equipment Development Department, and 173 projects. His representative contributions include: proposing the concept and methods of image-domain interference suppression for synthetic aperture radar (SAR), developing foundational algorithms such as DRPCA, 2D-SPECAN, BSF, and Robust BSF; establishing the Lambda-1 detector which enables adaptive interference detection in eigenvalue domains; developing innovative SAR operational modes for ground emitter source localization. Some of his works have been adopted in the data processing systems and pre-research projects by several international and Chinese institutions. His work on the Lambda-1 detector received the 2024 IEEE ICSIDP Best Paper Award. His research has received publication funding from the "14th Five-Year Plan" National Key Publishing Project and the 2024 National Publishing Fund. He currently serves as a guest editor for the Journal of Radars and an associated editor for Modern Radar.