水利信息化Issue(2)：36-45,10.DOI:10.19364/j.1674-9405.2026.02.006
融合多尺度与边缘特征的水葫芦语义分割方法
Semantic segmentation of water hyacinth by fusing multi-scale and edge features
朱玉东 1戚荣志 2姜原 3叶凡3
作者信息
- 1. 太湖流域水文水资源监测中心,江苏 无锡 214024
- 2. 河海大学计算机与软件学院,江苏 南京 211100||河海大学水利部水利大数据重点实验室,江苏南京 211100
- 3. 河海大学计算机与软件学院,江苏 南京 211100
- 折叠
摘要
Abstract
To address the prevalent issues of multi-scale object recognition confusion and loss of edge details in semantic segmentation tasks for floating objects such as water hyacinth,this paper proposed a semantic segmentation method for water hyacinth based on the fusion of multi-scale and edge features,termed the WH-FFSSM model.A dual-backbone network integrating convolution and attention mechanisms was designed to synchronously capture global multi-scale features and local detailed information of water hyacinth.A dual-branch guided aggregation layer was constructed to achieve effective alignment and synergistic enhancement of heterogeneous features.An edge detail detection layer and dense skip connections within the decoder were introduced to significantly improve the model's perception of target edges and its capability for multi-level feature representation.Comprehensive experimental evaluations on a self-constructed dataset demonstrated that the proposed method achieved a mean intersection over union of 91.5％and a mean accuracy of 95.4％on the test set.These results significantly outperform existing baseline models,verifying the effectiveness and superiority of the proposed method for accurate water hyacinth segmentation in complex water environments.关键词
语义分割/多尺度特征融合/WH-FFSSM模型/深度学习/水葫芦Key words
semantic segmentation/multi-scale feature fusion/WH-FFSSM model/deep learning/water hyacinth分类
信息技术与安全科学引用本文复制引用
朱玉东,戚荣志,姜原,叶凡..融合多尺度与边缘特征的水葫芦语义分割方法[J].水利信息化,2026,(2):36-45,10.
