[HTML][HTML] Air target intent recognition method combining graphing time series and diffusion models

LI Chenghai, W Ke, S Yafei, W Peng… - Chinese Journal of …, 2025 - Elsevier
Air target intent recognition holds significant importance in aiding commanders to assess
battlefield situations and secure a competitive edge in decision-making. Progress in this …

Lightweight Intent Recognition Method Based on Diffusion Model

L Li, Y Song, W Quan, P Ni, K Wang - International Journal of …, 2024 - Springer
To address the challenges posed by imbalanced and limited battlefield data, which typically
results in complex models prone to overfitting during training, we introduce a novel diffusion …

A Class Balanced Spatio-Temporal Self-Attention Model for Combat Intention Recognition

X Wang, B **, M Jia, G Wu, X Zhang - IEEE Access, 2024 - ieeexplore.ieee.org
To address the issue of model performance degradation in combat intention recognition
caused by the long-tailed distribution of battlefield data and the neglect of the spatial …

[HTML][HTML] A novel automated neural network architecture search method of air target intent recognition

W Ke, S Yafei, XU Yunfei, Q Wen, NI Peng… - Chinese Journal of …, 2024 - Elsevier
Modern air battlefield operations are characterized by flexibility and change, and the
battlefield evolves rapidly and intricately. However, traditional air target intent recognition …

A Joint Method for Combat Intent Recognition and Key Information Extraction

J Zhang, L Lu, G Jiang, C Yuan, H Zhang… - … Conference on Data …, 2023 - Springer
To alleviate the problems of poor quality and low efficiency in traditional combat plan
making, we propose an intelligent combat plan generation method based on Bert pre …

TLSTM: A Transformer-LSTM Method for UAV Combat Intent Recognition

Y Song, K Wang, L Li, C Li - China Conference on Command and Control, 2024 - Springer
Drones have become an indispensable tool in modern information-based combat systems.
In the Russian-Ukrainian conflict, both sides have extensively utilized unmanned aerial …

基于数据生成和深度神经网络的空间非合作目标行为意图识别

余静, 彭晓东, 谢文明, 覃润楠, 王有亮 - 空间科学学报, 2024 - cjss.ac.cn
在信息化条件下, 空间环境变得日益复杂, 空间非合作目标数量日益增长, 地面操作人员难以迅速
准确地根据非合作目标的运动规律识别其意图, 因此提出基于堆叠自编码器(SAE) …

Spatial Non-cooperative Target Behavior Intent Recognition Based on Data Generation and Deep Neural Networks

J Yu, X Peng, W **e, R Qin… - Chinese Journal of …, 2024 - ui.adsabs.harvard.edu
Under the conditions of informatization, the space environment has become increasingly
complex, and the number of non cooperative targets in space is growing. Ground operators …

Research on Intent Recognition Method of Air Targets Based on Transformer Model

H Zhang, Y Song, Z Qi - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Most existing methods for operational intent recognition of air targets rely on complex
models, leading to difficulties in accurately and efficiently identifying the true intent of the …