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土壤导数光谱小波去噪与有机质吸收特征提取
作者姓名:Liu W  Chang QR  Guo M  Xing DX  Yuan YS
作者单位:1. 西北农林科技大学资源环境学院,陕西杨凌,712100
2. 西北农林科技大学资源环境学院,陕西杨凌,712100;咸阳师范学院资源环境系,陕西咸阳,712000
基金项目:国家“十一五”科技计划支撑重大项目(2006BAD09B0603); 国家自然科学基金项目(30872073); 国家(973计划)项目(2007CB407203)资助
摘    要:使用高光谱仪ASDFieldSpec在波长范围400~1000nm内,采集有机质含量水平不同的土壤反射光谱数据,之后求取一阶导数(一阶导数光谱)并进行小波去噪;通过数值积分计算、相关分析,从去噪后的一阶导数光谱中提取吸收面积表征有机质含量变化。结果显示:(1)土壤一阶导数光谱中含有大量噪声,致使光谱曲线轮廓和有机质的吸收特征难以识别。(2)当小波分解层数J=3时,小波去噪在平滑土壤一阶导数光谱曲线的同时,较好的保持了曲线上多个敏感波段的光谱响应特征。(3)从去噪后的一阶导数光谱中提取的吸收面积S(538,586)与有机质含量的相关系数为-0.8763,较好的反映了土壤有机质含量的变化情况,可以用于土壤有机质含量测算。

关 键 词:可见/近红外光  土壤有机质  数值积分  特征提取  

Extraction of first derivative spectrum features of soil organic matter via wavelet de-noising
Liu W,Chang QR,Guo M,Xing DX,Yuan YS.Extraction of first derivative spectrum features of soil organic matter via wavelet de-noising[J].Spectroscopy and Spectral Analysis,2011,31(1):100-104.
Authors:Liu Wei  Chang Qing-Rui  Guo Man  Xing Dong-Xing  Yuan Yong-Sheng
Institution:LIU Wei1,CHANG Qing-rui1*,GUO Man1,XING Dong-xing1,2,YUAN Yong-sheng1 1.College of Resources and Environment,Northwest A&F University,Yangling 712100,China 2.Department of Resources Environment,Xianyang Normal College,Xianyang 712000,China
Abstract:The hyperspectral reflectance of soil was measured by a ASD FieldSpec within 400~1 000 nm.Next,its first derivative of spectra were acquired and de-noised by the threshold de-noising method based on wavelet transform.From the de-noised derivative spectra,absorption areas used as indicatoresas for soil organic matter content were acquired by numerical integration.Results show that:(1) Because of much noise,it is difficult to identify spectra contour and features in the first derivative of soil spectra result...
Keywords:Vis/NIR spectrum  Soil organic matter  Numerical integration  Feature extraction  
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