数据与计算发展前沿2026，Vol.8Issue(2)：54-65,12.DOI:10.11871/jfdc.issn.2096-742X.2026.02.005
基于频域引导特征的泥石流灾后遥感影像语义分割网络构建研究
Research on the Construction of Semantic Segmentation Network for Post-Mudslide Remote Sensing Images Based on Frequency Domain Guided Features
摘要
Abstract
[Objective]Debris flow disasters,due to their suddenness and extreme destructiveness,have become a key focus in emergency rescue.Low-altitude unmanned aerial vehicle(UAV)remote sensing can efficiently obtain high-res-olution image data of disaster-stricken areas.However,how to perform accurate and efficient semantic segmenta-tion of disaster-affected areas remains a common technical challenge in research.[Methods]This paper proposes a lightweight frequency-guided remote sensing segmentation network.[Results]The results show that:(1)Under the premise of maintaining low computational cost,the proposed method efficiently extracts the complex bound-ary structures of objects in high-resolution images,and the overall performance of the model is improved by ap-proximately 1.98%and 4.43%compared to U-Net and UKAN methods;(2)The Fast Fourier Transform(FFT)maps spatial features to the frequency domain,and by jointly modeling the real and imaginary parts,it effectively captures long-range dependencies and periodic geometric information,compensating for the limitations of tradi-tional convolution in global modeling;(3)The introduction of global semantic tokens establishes a gated fusion mechanism to adaptively regulate the weights between local features and global priors,effectively alleviating the problem of detail loss during the upsampling process.[Conclusions]This research can provide effective techni-cal support for rapid damage assessment of debris flow disasters.关键词
语义分割/深度学习/频域引导/泥石流灾害Key words
semantic segmentation/deep learning/frequency-guided features/debris flow disaster引用本文复制引用
韩立钦,李龙园,王钰康,张耀南,常盟盟,潘清元..基于频域引导特征的泥石流灾后遥感影像语义分割网络构建研究[J].数据与计算发展前沿,2026,8(2):54-65,12.基金项目
国家重点研发计划项目(2022YFF0711700) （2022YFF0711700）
甘肃省科技重大专项(24ZDGE002) （24ZDGE002）
天水市科技计划项目(2022-FZJHK-3409) （2022-FZJHK-3409）
