通信学报2025，Vol.46Issue(3)：274-290,17.DOI:10.11959/j.issn.1000-436x.2025045
基于多尺度胶囊Swin Transformer的SAR图像目标识别方法
Multi-scale capsule Swin Transformer-based method for SAR image target recognition
摘要
Abstract
A multi-scale capsule Swin Transformer network(MSCSTN)was proposed by synergizing the semantic fea-ture encoding of capsule units with the context feature mapping of Swin Transformer.Capsule encoding and the Swin Transformer were jointly applied to SAR image target recognition.The network was integrated with three parallel cap-sule Swin Transformer encoding structures,which were fused to classify the input image.Each structure was constructed through a capsule token encoder based on expanded convolutional slice partition and a 3D capsule Swin Transformer module,which designed to capture of more profound and extensive semantic features.The experimental results on the moving and stationary target acquisition and recognition(MSTAR)dataset and FUSAR-Ship dataset were shown to dem-onstrate that MSCSTN outperformed other methods under various test conditions.The results demonstrate that MSCSTN exhibits excellent recognition performance,generalization ability,and potential for application.关键词
膨胀卷积切片分区/胶囊令牌编码器/三维胶囊Swin Transformer模块/多尺度胶囊Swin Transformer网络/SAR图像目标识别Key words
dilated convolution patch partition/capsule token encoder/three-dimensional capsule Swin Transformer mod-ule/multi scale capsule Swin Transformer network/SAR image target recognition分类
信息技术与安全科学引用本文复制引用
侯宇超,王洁,李洪涛,郝岩,段晓旗,黄凯文,田有亮..基于多尺度胶囊Swin Transformer的SAR图像目标识别方法[J].通信学报,2025,46(3):274-290,17.基金项目
国家自然科学基金资助项目(No.42461057,No.62272123,No.42371470) （No.42461057,No.62272123,No.42371470）
山西省基础研究计划基金资助项目(No.202303021212164,No.202303021212255) （No.202303021212164,No.202303021212255）
山西省高等学校科技创新基金资助项目(No.2022L405) （No.2022L405）
山西省研究生科研创新基金资助项目(No.2024KY474) （No.2024KY474）
贵州省基础研究基金资助项目(No.2024129) The National Natural Science Foundation of China(No.42461057,No.62272123,No.42371470),The Funda-mental Research Program of Shanxi Province(No.202303021212164,No.202303021212255),Scientific and Technological Innova-tion Programs of Higher Education Institutions in Shanxi(No.2022L405),Postgraduate Education Innovation Program of Shanxi Province(No.2024KY474),Guizhou Provincial Basic Research Program(No.2024129) （No.2024129）
