通信学报2025，Vol.46Issue(3)：248-257,10.DOI:10.11959/j.issn.1000-436x.2025053
MDA-MIM:一种融合多尺度特征与双重注意力机制的雷达回波图预测模型
MDA-MIM:a radar echo map prediction model integrating multi-scale feature fusion and dual attention mechanism
摘要
Abstract
To obtain high-quality spatiotemporal features from radar echo maps,an improved MIM(memory in memory)model,MDA-MIM(multi-scale feature fusion and dual attention mechanism MIM)was proposed.Multi-scale feature fu-sion and a dual attention mechanism were incorporated in MDA-MIM.Dilated convolution was used to extract and inte-grate multi-scale features.To better capture the non-stationary characteristics of radar echo data,a self-attention mecha-nism was introduced into the non-stationary module of the MIM model,dynamically adjusting the weights of different time steps and spatial positions.Meanwhile,a local attention mechanism was incorporated into the stationary module,en-abling the model to focus on feature correlations within local regions and enhance its ability to extract stationary fea-tures.Experiments conducted on real-world datasets demonstrate that MDA-MIM achieves state-of-the-art predictive performance,consistently outperforming baseline models across multiple evaluation metrics,including MSE,MAE,SSIM,and PSNR.关键词
雷达回波图/时空预测/注意力机制/多尺度特征Key words
radar echo map/spatial-temporal prediction/attention mechanism/multi-scale feature分类
计算机与自动化引用本文复制引用
胡强,高雅婷,尹宾礼,渠连恩..MDA-MIM:一种融合多尺度特征与双重注意力机制的雷达回波图预测模型[J].通信学报,2025,46(3):248-257,10.基金项目
国家自然科学基金资助项目(No.61973180) （No.61973180）
山东省重点研发计划(软科学)基金资助项目(No.2023RKY01009) The National Natural Science Foundation of China(No.61973180),Shandong Province Key Research and De-velopment(Soft Science)Project(No.2023RKY01009) （软科学）
