山东农业大学学报（自然科学版）2025，Vol.56Issue(1)：11-20,10.DOI:10.3969/j.issn.1000-2324.2025.01.002
基于哨兵二号红边波段特征的作物分类
Crop Classification Based on Sentinel-2 Red-Edge Band Features
摘要
Abstract
To explore the potential of red-edge band features in crop information extraction,this paper utilized Sentinel-2 optical image data of Daiyue District from 2020.Firstly,performed multi-scale segmentation was performed.Then,the spectral features and texture features of red edge band were comprehensively used to establish the optimal feature space.Finally,soybean,wheat,orchard and other crops were classified under the participation of different red-edge bands.The results show that:(1)The combined use of spectral and textural features from the red-edge bands significantly improves the recognition accuracy for most crop types,compared to using only a single type of feature information.(2)Considering all red-edge bands,the overall accuracy and Kappa coefficient of the classification reach 87.1%and 0.855,respectively,representing an increase of 9.1%and 10.6%compared to the case without red-edge bands.The results can provide technical reference for in-depth analysis of red-edge band and fine classification of crop types.关键词
红边波段/面向对象/作物分类/多尺度分割/特征选择Key words
Red-edge band/object-oriented/crop classification/multi-scale segmentation/feature selection分类
农业科学引用本文复制引用
王美月,万红,刘法军,刘晓君..基于哨兵二号红边波段特征的作物分类[J].山东农业大学学报（自然科学版）,2025,56(1):11-20,10.基金项目
国家青年基金(41501409) （41501409）
山东农业大学横向课题(140-381293) （140-381293）
