Quantifying TiO_2 Abundance of Lunar Soils:Partial Least Squares and Stepwise Multiple Regression Analysis for Determining Causal Effect |
| |
| Authors: | Lin Li |
| |
| Affiliation: | Lin Li Department of Earth Sciences,Indiana University-Purdue University,Indianapolis,IN 46202,USA |
| |
| Abstract: | Partial least squares(PLS) regression was applied to the Lunar Soil Characterization Consortium(LSCC) dataset for spectral estimation of TiO2.The LSCC dataset was split into a number of subsets including the low-Ti,high-Ti,total mare soils,total highland,Apollo 16,and Apollo 14 soils to investigate the effects of interfering minerals and nonlinearity on the PLS performance.The PLS weight loading vectors were analyzed through stepwise multiple regression analysis(SMRA) to identify mineral species driving and... |
| |
| Keywords: | lunar soils LSCC dataset TiO2 abundance partial least squares stepwise multiple regression |
| 本文献已被 CNKI 等数据库收录！ |
|
