期刊论文

中文

农业工程学报

1002-6819

2016

32

22

138-145

10.11975/j.issn.1002-6819.2016.22.019

41401232:国家自然科学基金 41271534:国家自然科学基金 CCNU15A05006:中央高校基本科研业务费专项 CCNU15A05004:中央高校基本科研业务费专项

本校为第一机构

高光谱技术已成为预测土壤含水量(soil moisture content,SMC)的重要方法,但因土壤高光谱中包含了大量冗余信息和无效信息,不仅导致SMC的高光谱估算模型复杂度高,而且影响了模型的预测精度。因此,该研究在室内设计SMC梯度试验,测定土壤高光谱反射率,经Savitzky-Golay平滑(Savitzky-Golay smoothing,SG)和连续统去除(continuum removal,CR)预处理后,基于竞争适应重加权采样(competitive adaptive reweighted sampling,CARS)方法分别优选出土壤在全部SMC的水分敏感波长变量,确定适用于土壤在全部SMC的共性波长变量,以其为优选变量集,采用偏最小二乘(partial least squares regression,PLSR)回归方...

Hyperspectral technology is a popular method of predicting soil moisture content nowadays, however, soil spectra include quantities of invalid redundant information, which is a serious bottleneck problem that could lead higher complexity and lower accuracy of prediction model. In this study, 96 fluvo-aquic soil samples were collected at 0-20 cm depth in fields in Qianjiang city, Hubei province, China, and then the samples were pretreated by air-drying, grinding and sieving in a laboratory. Samples with different soil moisture content (SMC, mass fraction of 0-40%) were prepared. For each sample...