Special Session 4  会议特别专题 4

High-resolution Radar Imaging and Target Recognition

Description: High-resolution SAR and ISAR imaging and target recognition are important research directions in the field of radar. High-resolution SAR utilizes the relative motion between radar and the scene to form a synthetic aperture, obtaining high-resolution two-dimensional images of stationary scenes or regions. It is widely used in military reconnaissance, geological exploration, disaster monitoring, and other fields, and can penetrate clouds and work day and night, providing powerful means for information acquisition in complex environments. ISAR is used for imaging moving targets. By processing the rotation or Doppler information of the target relative to the radar, high-resolution images of the target can be obtained, which can clearly present the detailed structure of targets such as airplanes and ships. High-resolution imaging can enhance the fine perception ability of targets, while target recognition technology can automatically and accurately determine target categories and attributes, greatly improving information processing efficiency and decision-making accuracy, and reducing manual intervention. This helps to take the initiative on the battlefield in military affairs, achieve more efficient resource development and disaster warning in civilian fields, and promote the development of radar technology towards intelligence and precision. This session aims to explore the cutting-edge research progress and future development directions in the field of high-resolution radar imaging and target recognition.

Session organizers
Assoc. Prof. Shuai Shao, Xidian University, China
Dr. Jiaqi Wei, Northwest University, China
Dr. Ziheng Xia, Xi’an Technological University, China

The topics of interest include, but are not limited to:
▪ Synthetic aperture radar imaging
▪ Inverse synthetic aperture radar imaging
▪ Motion compensation
▪ Super resolution radar imaging
▪ Three-dimensional radar imaging
▪ Feature extraction
▪ Radar automatic target recognition
▪ High resolution radar profile target recognition
▪ Synthetic aperture radar image recognition
▪ Remote sensing image recognition

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 4 (High-resolution Radar Imaging and Target Recognition)
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Introduction of Session organizers

Assoc. Prof. Shuai Shao, Xidian University, China

Shuai Shao is an associate professor and master's supervisor at the School of Electronic Engineering, Xidian University. He serves as a Principal Investigator at the National Key Laboratory of Radar Signal Processing and holds the position of Deputy Director at the Xi'an International Science and Technology Cooperation Base for Cognitive Signal Processing and Information Fusion. Over the past five years, he has made significant research contributions, having published 33 peer-reviewed academic papers as first or corresponding author, including 10 articles in IEEE Transactions Top journals. His intellectual property portfolio comprises a total of 18 national invention patents. In addition, he has presided more than 10 national/ministerial projects, including the National Natural Science Foundation of China. In 2023, he was selected for the Youth Talent Support Program of Xi'an Association for Science and Technology and won the Xidian University Outstanding Doctoral Dissertation Award in the same year. He has served as the session chair of international conferences such as the ICSPS 2024, ICVISP 2024, SIILP 2022, 2021 CIE International Conference on Radar, ICCAIS 2021, and has given three invited reports in English. He has also won the Best Paper Award at international conferences three times.



Dr. Jiaqi Wei, Northwest University, China

Jiaqi Wei is a lecturer at the School of Information Science and Technology, Northwest University. She obtained a doctoral degree in Signal and Information Processing from Xi'an University of Electronic Science and Technology in 2020. The main academic research field is radar signal processing and its application in non-contact life signal detection, including respiratory and heartbeat signal feature extraction, harmonic suppression, weak signal enhancement, etc. In recent years, she has hosted and participated in multiple projects such as the Natural Science Special Project of the Provincial Department of Education and the National Natural Science Foundation. She has published nearly 10 papers as the first author and has applied for and been granted multiple patents.



Dr. Ziheng Xia, Xi’an Technological University, China

Ziheng Xia is a lecturer at the School of Defense Science and Technology, Xi’an Technological University. He obtained a doctoral degree in Signal an Information Processing from Xidian University in 2023. The main academic research field is deep learning image perception and its application in radar automatic target recognition. In 2025, he was awarded the Youth Talent Support Program of the Science and Technology Association of Shaanxi Province's Universities. He has published nearly 10 papers as the first author and has applied for and been granted multiple patents.