软件导刊2024，Vol.23Issue(12)：268-276,9.DOI:10.11907/rjdk.241533
用于近海区域植被保护的无人机图像语义分割算法研究
Research on UAV Image Semantic Segmentation Algorithm for Vegetation Protection in Offshore Areas
李庆华 1胥志伟 1赵天旭 1刘莹莹 2吴楷 2王胜科2
作者信息
- 1. 山东巍然智能科技有限公司
- 2. 中国海洋大学 信息科学与工程学部,山东 青岛 266100
- 折叠
摘要
Abstract
Coastal zones have a profound impact on human life and economic development.UAV has been widely used in marine ecological protection.However,existing segmentation models still have some problems in UAV coastal zone vegetation segmentation tasks.Therefore,this paper designs a feature extraction network combined with CNN and Transformer,and then designs a MEAFormer branch.Meanwhile,a class-guided weighting module(CGW)is designed to learn the robust feature representation of different appearances.On the other hand,there are similar vegetation category segmentation errors and unclear underwater vegetation boundary segmentation caused by coastal zone scenes.Therefore,this paper constructs a fusion branch including mixed Convolution attention module(MCA)and dual attention fusion mod-ule(DAFM)to integrate and learn features of different levels.Meanwhile,SAM branch is introduced.The Mask obtained by the MEAFormer branch guides SAM to do fine segmentation.The MIou achieved 79.8%on Cityscapes and 72.4%on OUC-UAV-SEG,respectively,the effec-tiveness of the segmentation strategy proposed in this paper was verified.关键词
植被保护/无人机图像分割/类引导加权/特征融合Key words
vegetation protection/unmanned aerial vehicle image segmentation/class guided weighting/feature fusion分类
信息技术与安全科学引用本文复制引用
李庆华,胥志伟,赵天旭,刘莹莹,吴楷,王胜科..用于近海区域植被保护的无人机图像语义分割算法研究[J].软件导刊,2024,23(12):268-276,9.
