电讯技术2025，Vol.65Issue(8)：1187-1195,9.DOI:10.20079/j.issn.1001-893x.241114005
基于多尺度上下文注意力U-SegNet的遥感目标检测
Remote Sensing Target Detection Based on Multi-scale Contextual Attention U-SegNet
摘要
Abstract
To solve the problems of high complexity,poor detection effect and weak generalization of existing remote sensing target detection models due to the variety of remote sensing target images,small target and low contrast with the surrounding environment,and the fact that U-Net and U-SegNet ignore the difference in the receptive field of different scale features,a multi-scale context attention U-SegNet(MSCAUSNet)is constructed.It consists of U-SegNet,multi-scale feature fusion(MSFF)and multi-scale context attention(MSCA)modules.In the model,MSCA instead of skip connections in U-SegNet is used to fuse low-level and high-level features of the target,and multi-scale context feature is captured by MSFF and MSCA modules,thus significantly improving the detection performance of remote sensing multiscale targets.The experimental results on the remote sensing target image dataset show that the proposed model is effective for remote sensing multiscale target detection.Compared with that of the original U-Net and U-SegNet,the detection rate of MSCAUSNet is increased by 7.94%and 5.09%,respectively.The proposed model provides a technical support for remote sensing target detection and recognition system.关键词
遥感多尺度目标检测/多尺度上下文注意力U-SegNet/多尺度上下文注意力/多尺度特征融合Key words
remote sensing multi-scale target detection/multi-scale context attention U-SegNet/multi-scale context attention/multi-scale feature fusion分类
信息技术与安全科学引用本文复制引用
陈瑞霞,张善文,吴青娥..基于多尺度上下文注意力U-SegNet的遥感目标检测[J].电讯技术,2025,65(8):1187-1195,9.基金项目
河南省科技攻关项目(232102210034,242102210021) （232102210034,242102210021）
河南省教育厅项目(25A520049) （25A520049）
郑州西亚斯学院重点学科信息与通信工程(0810) （0810）
