山西农业大学学报（自然科学版）Issue(5)：467-473,7.
冬小麦高光谱信息提取方法的研究
The Study of Winter Wheat Hyperspectral Information Extraction Method
摘要
Abstract
In accordance with the high spectral data band ,the large amount of data and the redundancy of the high data , the method of principal component analysis (PCA) and band intercorrelation analysis were used in the paper. The ex‐periment was conducted to obtain the hyperspectral data under different growth stages of winter wheat. Moreover ,the extracted hyperspectral information was validated by the sensitive bands of leaf area index (LAI) selected with the method of correlative analysis. The results showed that the hyperspectral information selected with methods of principal component analysis (PCA) and intercorrelation analysis are mainly centered in the area of 350 ~ 450 nm ,600 ~ 700 nm , 1 100 ~ 1 200 nm and 1 500 ~ 1 750 nm which covered the visible ,near‐infrared and shortwave infrared bands. To vali‐date the selected hyperspectral information ,the sensitive bands of LAI extracted with the correlative coefficient analysis were contained in the hyperspectral information of winter wheat. The paper indicated that the method of PCA and cor‐relation analysis was available and reliable in reducing the hyperspectral redundancy and extracting hyperspectral infor‐mation of winter wheat.关键词
高光谱遥感/信息提取/主成分分析/自相关分析Key words
Hyperspectral remote sensing/Information extraction/PCA/Intercorrelation分类
农业科技引用本文复制引用
李志花,冯美臣,王超,赵佳佳,王慧琴,刘婷婷,杨武德..冬小麦高光谱信息提取方法的研究[J].山西农业大学学报（自然科学版）,2015,(5):467-473,7.基金项目
国家自然科学基金项目（31371572，31201168）；山西省科技攻关项目（20110311038）；山西省青年基金项目 （）
