彭小婷, 高文秀, 王俊杰. 基于包络线去除和偏最小二乘的土壤参数光谱反演[J]. 武汉大学学报 ( 信息科学版), 2014, 39(7): 862-866.
引用本文: 彭小婷, 高文秀, 王俊杰. 基于包络线去除和偏最小二乘的土壤参数光谱反演[J]. 武汉大学学报 ( 信息科学版), 2014, 39(7): 862-866.
peng xiaoting,  gao wenxiu,  wang junjie. inversion of  soil parameters  from hypers pectra based on continuumremoval and partial least squares regression[J]. Geomatics and Information Science of Wuhan University, 2014, 39(7): 862-866.
Citation: peng xiaoting,  gao wenxiu,  wang junjie. inversion of  soil parameters  from hypers pectra based on continuumremoval and partial least squares regression[J]. Geomatics and Information Science of Wuhan University, 2014, 39(7): 862-866.

基于包络线去除和偏最小二乘的土壤参数光谱反演

inversion of  soil parameters  from hypers pectra based on continuumremoval and partial least squares regression

  • 摘要: 基于江苏省宜兴市100个土样的可见光-近红外高光谱反射率400 2 450nm数据结合包络线去除continuum removalcr与偏最小二乘回归partial  least  squares  re gressionplsr 构建了土壤重金属砷as和有机质om含量的反演模型 结果表明相比普通plsr模型模型决定系数r2和预测根均方误差rmsep分别为0.5123.090和0.6215.934cr-plsr构建的模型预测能力有明显的改善r2和rmsep分别为0.7632.323和0.9114.599 cr有效增强了5509001 4201 900和2 200nm等波段处的反射光谱特征根据模型回归系数分析cr有效突出的波段正是as和om的cr-plsr模型所共用的重要波段研究表明cr能够协助plsr模型重要波段的选择利用遥感技术结合cr-plsr能够有效提高土壤重金属as和om含量的反演精度从而为土壤质量的遥感监测提供参考

     

    Abstract: in  the  stud ywe combined continuum removalcr with a partial  least  squares  re gressionplsr method to build inversion models of  soil as concentration and or ganic matteromcontentbased on hypers pectral  data between 400-2 500nm of  100soil  samples which were collected  in yixingre gion  of  jian gsu province.the  results  show thatcompared with the  common plsr modelsmodel'sdetermination  coefficientsr2and root mean square error  of  prediction rmsepare  0.5123.090and0.6215.934res pectivel y cr-plsr models present  an  improvement  of as and om inversion models r2 and rmsep are  0.7632.323and 0.9114.599res pectivel y.in addition cr effectivel ystren gthens  the  spectral  characteristics of  55090014201900and 2 200nm wavelengths.the  anal ysis  of  re gression  coefficients  of  cr-plsr and plsr models of as and om demonstrate  several  important wavelengths  enhanced by cr and are  simultaneousl y used  for cr-plsr models of as and om.thus cr is  able  to hel p plsr conduct wavelength selection and enhances  the  inversion precision ofsoil as and om content  effectivel y.this findin g can be used as  a reference  for  remote  sensing monitorin g of  soil  qualit y.

     

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