.png){kind=icon}
返回
Air target intent recognition method combining graphing time series and diffusion models
.png){kind=icon}
OA
AI
DOI：10.1016/j.cja.2024.08.008.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
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 domain has been hindered by challenges posed by imbalanced battlefield data and the limited robustness of traditional recognition models. Inspired by the success of diffusion models in addressing visual domain sample imbalances, this paper introduces a new approach that utilizes the Markov Transfer Field (MTF) method for time series data visualization. This visualization, when combined with the Denoising Diffusion Probabilistic Model (DDPM), effectively enhances sample data and mitigates noise within the original dataset. Additionally, a transformer-based model tailored for time series visualization and air target intent recognition is developed. Comprehensive experimental results, encompassing comparative, ablation, and denoising validations, reveal that the proposed method achieves a notable 98.86% accuracy in air target intent recognition while demonstrating exceptional robustness and generalization capabilities. This approach represents a promising avenue for advancing air target intent recognition. (c) 2024 Production and hosting by Elsevier Ltd. on behalf of Chinese Society of Aeronautics and Astronautics. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
Keyword:
Intent Recognition
Markov Transfer Field
Denoising Diffusion Proba- bility Model
Transformer
Neural Network
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.7
论文数:
4.7K
被引数:
1.4W
机构
引用论文
Metrology for drone and drone for metrology: Measurement systems on small civilian drones无人机计量学和无人机计量学: 小型民用无人机的测量系统
PREAI
分享收藏Sensorless Control of Z Source Inverter fed BLDC Motor Drive by FOC - DTC Hybrid Control Strategy Using Fuzzy Logic Controller采用模糊逻辑控制器的foc-dtc混合控制策略的Z源逆变器馈电BLDC电机驱动的无传感器控制
PREAI
分享收藏分享收藏Energy-Efficient Robot Configuration and Motion Planning Using Genetic Algorithm and Particle Swarm Optimization基于遗传算法和粒子群算法的节能机器人配置和运动规划.png)
Energies
OAAI
EnergiesIF0
OAAI分享收藏Classification of Remote Sensing Images Using EfficientNet-B3 CNN Model With AttentionIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏Swin Transformer Embedding UNet for Remote Sensing Image Semantic SegmentationSwin变压器嵌入UNet的遥感图像语义分割
PREAI
分享收藏A Bayesian Framework for Joint Target Tracking, Classification, and Intent InferenceIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAI分享收藏
查看更多内容