Monitoring Freeze Stress Levels on Winter Wheat from Hyperspectral Reflectance Data Using Principal Component Analysis

文献类型： 外文期刊

第一作者： Wang Hui-fang

作者： Wang Hui-fang;Huo Zhi-guo;Wang Hui-fang;Wang Ji-hua;Dong Ying-ying;Gu Xiao-he

作者机构：

关键词： Winter wheat freeze injury stress;Hyperspectral;Principal component analysis (PCA)

期刊名称：SPECTROSCOPY AND SPECTRAL ANALYSIS （ 影响因子：0.589； 五年影响因子：0.504 ）

ISSN： 1000-0593

年卷期： 2014 年 34 卷 5 期

页码：

收录情况： SCI

摘要： In order to detect the freeze injury stress level of winter wheat growing in natural environment fast and accurately, the present paper takes winter wheat as experimental object. First winter wheat canopy hyperspectral data were treated with resampling smooth. Second hyperspectral data were analyzed based on principal components analysis (PCA), a freeze injury inversion model was established, stems survival rate was dependent, and principal components of spectral data were chosen as independent variables. Third, the precision of the model was testified. The result showed that the freeze injury inversion model based on 6 principal components can estimate the winter wheat freeze injury accurately with the coefficient of determination (R-2) of 0. 697 5, root mean square error (RMSE) of 0. 184 2, and the accuracy of 0. 697 5. And the model was verified. It can be concluded that the PCA technology has been shown to be very promising in detecting winter wheat freeze injury effectively, and provide important reference for detecting other stress on crop.

分类号：

  • 相关文献

[1]Source Apportionment of PAHs Using Two Mathematical Models for Mangrove Sediments in Shantou Coastal Zone, China. Cao, Qimin,Chen, Guizhu,Cao, Qimin,Cao, Qimin,Cao, Qimin,Chen, Guizhu,Wang, Hua.

[2]Sensory evaluation, physicochemical properties and aroma-active profiles in a diverse collection of Chinese bayberry (Myrica rubra) cultivars. Cheng, Huan,Chen, Jianle,Chen, Shiguo,Liu, Donghong,Ye, Xingqian,Xia, Qile.

[3]Analysis of Volatiles during Grape Deterioration Using FTIR. Wang Wenzhong,Dong Daming,Zheng Wengang,Jiao Leizi,Zhao Xiande,Wang Wenzhong,Han Junfeng,Ye Song. 2013

[4]Water quality of a tributary of the Pearl River, the Beijiang, Southern China: implications from multivariate statistical analyses. Song, Ming W.,Huang, Ping,Zhang, Hui,Li, Feng,Xie, Kai Z.,Wang, Xi H.,He, Guo X.. 2011

[5]HYPERSPECTRAL IMAGE FOR DISCRIMINATING APHID AND APHID DAMAGE REGION OF WINTER WHEAT LEAF. Luo Juhua,Huang Wenjiang,Guan Qingsong,Zhao Jinling,Zhang Jingcheng. 2013

[6]Interpreting RADARSAT-2 Quad-Polarization SAR Signatures From Rice Paddy Based on Experiments. Yang, Shenbin,Zhao, Xiaoyan,Hua, Guoqiang,Li, Bingbai. 2012

[7]Genetic Analysis on Characteristics to Measure Drought Resistance Using Dongxiang Wild Rice (Oryza rufupogon Griff.) and Its Derived Backcross Inbred Lines Population at Seedling Stage. Hu Biao-lin,Zhang Tao,Wan Yong,Li Xia,Xie Jian-kun,Hu Biao-lin,Fu Xue-qin,Huang Yun-hong,Dai Liang-fang,Luo Xiang-dong,Xie Jian-kun. 2011

[8]Estimating rice brown spot disease severity based on principal component analysis and radial basis function neural network. Liu Zhan-yu,Huang Jing-feng,Tao Rong-xiang,Zhang Hong-zhi. 2008

[9]Gas Chromatographic-Mass Spectrometry and Chemometric Analysis for Detection and Quantification of Paraffin in Beeswax. Chen, Fang,Chen, Lanzhen,Zhao, Jing,Xue, Xiaofeng,Wu, Liming,Zheng, Chuangmu.

[10]Hyperspectral Remote Sensing Monitoring of Grassland Degradation. Wang Huan-jiong,Fan Wen-jie,Cui Yao-kui,Yan Bin-yan,Wu Dai-hui,Xu Xi-ru,Wang Huan-jiong,Wang Huan-jiong,Zhou Lei. 2010

[11]Monitoring plant response to phenanthrene using the red edge of canopy hyperspectral reflectance. Zhu, Linhai,Wang, Jianjian,Jiang, Lianhe,Zheng, Yuanrun,Zhu, Linhai,Chen, Zhongxin,Wang, Jianjian,Ding, Jinzhi,Ding, Jinzhi,Yu, Yunjiang,Li, Junsheng,Xiao, Nengwen,Rimmington, Glyn M..

[12]Estimating the crop leaf area index using hyperspectral remote sensing. Liu Ke,Zhou Qing-bo,Wu Wen-bin,Tang Hua-jun,Liu Ke,Zhou Qing-bo,Wu Wen-bin,Tang Hua-jun,Wu Wen-bin,Xia Tian.

[13]Estimation of herbage biomass and nutritive status using band depth features with partial least squares regression in Inner Mongolia grassland, China. Gong, Zhe,Kawamura, Kensuke,Ishikawa, Naoto,Inaba, Mizuki,Alateng, Dalai.

[14]Analysis of spectral difference between the foreside and backside of leaves in yellow rust disease detection for winter wheat. Yuan, Lin,Zhang, Jing-Cheng,Wang, Ke,Wang, Ji-Hua,Yuan, Lin,Zhang, Jing-Cheng,Wang, Ji-Hua,Zhao, Jin-Ling,Loraamm, Rebecca-W.,Huang, Wen-Jiang.

[15]Monitoring total nitrogen content in soil of cultivated land based on hyperspectral technology. Gu, Xiaohe,Wang, Lizhi,Zhang, Liyan,Yang, Guijun. 2017

[16]Stitching of hyper-spectral UAV images based on feature bands selection. Xia, L.,Zhang, R. R.,Chen, L. P.,Jiang, H. J.,Xia, L.,Zhang, R. R.,Chen, L. P.,Jiang, H. J.,Xia, L.,Zhang, R. R.,Chen, L. P.,Jiang, H. J.,Xia, L.,Zhang, R. R.,Chen, L. P.,Jiang, H. J.,Zhao, F.. 2016

[17]The inversion model of soil organic matter of cultivated land based on hyperspectral technology. Gu, Xiaohe,Wang, Yancang,Song, Xiaoyu,Xu, Xingang. 2015

[18]Study on non-destructive estimation of nitrogen concentration of water hyacinth by hyperspectral data. Wang, Jingjing,Sun, Ling,Liu, Huazhou,Wang, Jingjing. 2016

[19]Differentiation of Yellow Rust and Powdery Mildew in Winter Wheat and Retrieving of Disease Severity Based on Leaf Level Spectral Analysis. Yuan Lin,Zhang Jing-cheng,Zhao Jin-ling,Wang Ji-hua,Yuan Lin,Zhang Jing-cheng,Wang Ji-hua,Huang Wen-jiang. 2013

[20]Estimation of Flavonoids Content of the Wheat Disease Leaves Based on Hyperspectra. Du, Shizhou,Wu, Liquan,Wang, Rongfu,Du, Shizhou. 2012

作者其他论文 更多>>

微信小程序