基于低空无人机影像光谱和纹理特征的棉花氮素营养诊断研究

陈鹏飞,梁飞

Cotton Nitrogen Nutrition Diagnosis Based on Spectrum and Texture Feature of Images from Low Altitude Unmanned Aerial Vehicle

PengFei CHEN,Fei LIANG

表2 本研究使用的光谱指数

Table 2 Used spectral indices in this study

光谱指数 Spectral index 公式 Formula 发明者 Developed by 以归一化植被指数为构型的各光谱指数 Normalized Difference Vegetation Index Like Indices,NDVIs (Ri-Rj)/(Ri+Rj) ROUSE等[19] 比值植被指数 Ratio Vegetation Index,RVI Rnir /Rred PEARSON等[20] 增强植被指数 Enhanced Vegetation Index,EVI 2.5×(Rnir-Rred)/(Rnir+6×Rred-7.5×Rblue+1) HUETE等[21] 三角植被指数 Triangular Vegetation Index,TVI 0.5×(120×(Rnir-Rgreen) - 200×(Rred-Rgreen)) BROGE等[22] 改进土壤调整植被指数 Modified Soil-Adjusted Vegetation Index,MSAVI (2×Rnir+1-sqrt((2×Rnir+1)2-8×(Rnir-Rred)))/2 QI等[23] 土壤调整植被指数 Optimization of Soil-Adjusted Vegetation Index,OSAVI 1.16×(Rnir -Rred)/(Rnir+Rred+0.16) RONDEAUX等[24] 修改三角植被指数 Modified Triangular Vegetation Index 2,MTVI2 1.5×(1.2×(Rnir-Rgreen)-2.5×(Rred - Rgeen))/sqrt((2×Rnir+1)2 - (6×Rnir-5×sqrt(Rred)) - 0.5) HABOUDANCE等[25] 红边模型 Red Model,R-M Rnir/Rred-edge-1 GITELSON等[26] 绿波段比值植被指数 Green Ratio Vegetation Index,RVIgreen Rnir /Rgreen XUE等[27]