火力与指挥控制2026，Vol.51Issue(3)：35-43,9.DOI:10.3969/j.issn.1002-0640.2026.03.005
基于DLformer-UNet网络的UAV航拍图像分割方法
A UAV Aerial Image Segmentation Method Based on DLformer-UNet
刘鹏宇 1许海燕 1陈昊 1任婧1
作者信息
- 1. 河海大学信息科学与工程学院,江苏 常州 213200
- 折叠
摘要
Abstract
Unmanned Aerial Vehicles(UAVs)are increasingly pivotal in military operations,with aerial imagery serving as a critical source of intelligence.However,UAV image datasets pose challenges due to their rich contextual information and significant scale variation among objects.To address the inherent limitations of Convolutional Neural Networks(CNNs)and Transformers in semantic segmentation,we propose an enhanced architecture named DLformer-UNet.First,a lightweight self-attention module is introduced to reduce computational overhead.Second,the feedforward network is replaced by a dual-path hybrid gated network to boost segmentation performance.Extensive experiments conducted across multiple datasets,employing comparative analyses with different network backbones,demonstrate that our model achieves superior segmentation results.关键词
UAV/航拍图像/图像分割/U型网络/TransformerKey words
UAV/aerial image/image segmentation/U-Net/Transformer分类
信息技术与安全科学引用本文复制引用
刘鹏宇,许海燕,陈昊,任婧..基于DLformer-UNet网络的UAV航拍图像分割方法[J].火力与指挥控制,2026,51(3):35-43,9.
