摘要
以分析85份吉林省北部黑质土壤样品有机质含量为例,研究了利用多元散射校正和相关光谱法对定标波长的优选,并根据经验和参考波长理论对所建立的模型进行逐步优化。最终得到定量模型的相关系数为0 .90 ,定标标准差(RMSEC)为0 .36 %,交叉检验标准差(RMSECV)为0 .40 %,该结果与采用偏最小二乘算法(PLS)对土壤连续谱进行定标的结果相当。结果表明,利用该方法建立的模型简单、稳定,可以为吉林省北部黑土质土壤养分状况普查和便携仪器的研制提供参考。
By taking the 85 black soil samples in north of Jilin province as the examples of analyzing organic matter,a optimum choosing method of combination wavelengths for calibration was presented by the ways of Multiplicative Scatter Correction （MSC） and correlation spectrum, and the model was optimized progressively based on experience and reference wavelength theory. Finally, the model shows the correlation coefficient of 0.90, Root Mean Square Error of Calibration（RMSEC） of 0. 36%, and Root Mean Square Error of Calibration Value（RMSECV） of 0.40% ,which approaches to the calibration of continuous spectrum and stable, and can offer a province. by Partial Least Square（PLS）. Rusuhs indicate that the model is simple reference for general black soil condition investigation in north of Jilin
出处
《光学精密工程》
EI
CAS
CSCD
北大核心
2007年第12期1946-1951,共6页
Optics and Precision Engineering
基金
中国科学院知识创新工程领域前沿资助项目(NoO62Y32Q060)
应用光学国家重点实验室主任基金资助项目(NoO6133FQ066)
吉林省科技发展计划资助项目(No 20040324-2)
关键词
土壤养分
近红外光谱技术
精准农业
多元散射校正
相关光谱
soil nutrition
near infrared spectroscopy
precision agriculture
muhiplicative scatter correction
correlation spectrum
