As the offensive and defensive confrontations in the aerospace domain intensify, the threat posed by high-dynamic targets continues to escalate. Situation awareness is the key to transforming information advantages into decision-making advantages and an essential support for agile command decision-making. In a high-conflict, intense confrontation, and fast-paced battlefield environment, target behavior patterns are complex and variable, making it challenging to accurately describe and predict them using traditional models and methods. Furthermore, the inherent concealment and uncertainty of target intentions prevent direct observation and inference of the situation. There is an urgent need to break through traditional technologies, fuse multi-source information, integrate human-machine advantages, and construct intelligent models. Based on in-depth mining of target motion laws and behavior characteristics, real-time analysis, intelligent reasoning, and accurate prediction of target behavior and intentions are needed to achieve situation cognition. Situation cognition faces challenges such as limited high-value information, a lack of labeled samples, the absence of lightweight models, and the difficulty of interpretable reasoning. This research is highly complex and interdisciplinary, requiring the collective expertise of scholars and experts in aerospace, command and control, systems engineering, artificial intelligence, numerical simulation, and other fields.
Guest editors:
Prof. Gang WangAir Force Engineering University, Xi’an, China(command decision-making; pattern recognition; intelligent information processing; evidential reasoning);
Associate Prof. Yafei SongAir Force Engineering University, Xi’an, China(command decision-making; pattern recognition; intelligent information processing; evidential reasoning);
Managing Editor:
Dan LiChinese Journal of Aeronautics, Beijing China (Electronics communication, image processing, GNSS)
Manuscript submission information:
Chinese Journal of Aeronautics is an international, peer-reviewed and open-access journal of aerospace engineering published by Elsevier. The latest SCI impact factor is 5.7, which ranks JCR Q1 among journals of Aerospace Engineering.
Prospective authors are invited to submit their manuscripts electronically, adhering to the guidelines of Chinese Journal of Aeronautics:https://www.elsevier.com/journals/chinese-journal-of-aeronautics/1000-9361/guide-for-authors Manuscripts should not be published or currently submitted for publication elsewhere. Please submit only full papers intended for review, not abstracts, to the online system of Chinese Journal of Aeronautics.Please submit your papers through the online system https://www.editorialmanager.com/cjoa/default1.aspx and download the Title-Page from: http://hkxb.buaa.edu.cn/CN/column/column86.shtml Be sure to select the article type "VSI: Intelligent Situation Awareness".The submission deadline: 1-September-2024;
The acceptance deadline: 1-June-2025.