国土资源遥感Issue(3)：113-116,4.DOI:10.6046/gtzyyg.2014.03.18
基于PLSR的陕北土壤盐分高光谱反演
Hyperspectral remote sensing inversion of soil salinity in north Shaanxi based on PLSR
摘要
Abstract
The salinized soil in northern Shaanxi Province was chosen as the study object. The hyperspectral data were collected and the soil samples were analyzed. First, the correlation between the soil salinity and the reflectance were analyzed, and the characteristic bands were fitted. The usual regression and partial least squares regression ( PLSR) analysis was used to study the inversion model of soil salinity, and some testing samples were used to compare the accuracies. The results show that 482 nm, 1 365 nm, 1 384 nm, 2 202 nm and 2 353 nm are five characteristic wavelengths, and the precision of inversion is satisfactory. The result of precision test indicates that the inversion model with PLSR calculated by Matlab is fairly good, and the correlation between the measured value and the predicted value is better.关键词
偏最小二乘回归( PLSR)/土壤盐分/高光谱反演Key words
partial least squares regression ( PLSR)/soil salinity/hyperspectral inversion分类
农业科技引用本文复制引用
李晓明,王曙光,韩霁昌..基于PLSR的陕北土壤盐分高光谱反演[J].国土资源遥感,2014,(3):113-116,4.基金项目
陕西省自然科学基础研究计划(编号:2012JQ5015)。 （编号:2012JQ5015）
