山东农业大学学报（自然科学版）2024，Vol.55Issue(3)：433-443,11.DOI:10.3969/j.issn.1000-2324.2024.03.016
基于特征增强的冬小麦冻害精细空间分布遥感提取方法
Feature Enhancement-based Remote Sensing Extraction Method for Fine Spatial Distribution of Winter Wheat Frost Damage
摘要
Abstract
How to obtain the large-scale fine frost damage spatial distribution of crop timely and accurately is an urgent problem in agricultural field.Based on the characteristics of winter wheat growth changes after frost damage,we proposed a winter wheat frost damage fine spatial distribution extraction method(WWFDFSDEM)to extract fine spatial distribution from high resolution remote sensing imagery.Selected two high-resolution remote sensing images before and after frost damage as data source,based on the characteristics of normal winter wheat and frost damage winter wheat,the three channels of red,near-red and green and NDVI were selected as the basic features;we made full use of the spatial correlation of pixel-level features to enhance the details of features.On the basis of cross entropy,the loss function was established by adding the feature difference factor within each class and between the classes to enhance the distinguishing ability of the feature.Gaoqing County,Zibo City,Shandong Province was selected as the research area,Gaofen-2 remote sensing image was used as the data source,and Decision Tree,SegNet,RefineNet,ErfNet and UNet were used as the comparison models to carry out the comparison experiment.The accuracy(94.5%),precision(90.8%)and recall(91.3%)of the results generated by WWFDFSDEM were superior to the comparison methods,which proved the effectiveness of the method in extracting the fine spatial distribution of frost damage,it can meet the needs of extracting fine spatial distribution of frost damage in agricultural production management,agricultural insurance and other fields.关键词
冬小麦冻害/空间分布/特征增强/遥感影像/卷积神经网络Key words
Winter wheat frost damage/spatial distribution/feature enhancement/remote sensing imagery/convolutional neural network分类
信息技术与安全科学引用本文复制引用
张景涵,伊立冉,王凯,李钿,李峰,周彬,杨晓霞..基于特征增强的冬小麦冻害精细空间分布遥感提取方法[J].山东农业大学学报（自然科学版）,2024,55(3):433-443,11.基金项目
山东省自然科学基金(ZR2021MD097,ZR2020MF130) （ZR2021MD097,ZR2020MF130）
山东省气象局重点课题(2021sdqxz03) （2021sdqxz03）
山东省大学生创新创业训练项目(S202310434226) （S202310434226）
