Optimization of a Soil Particle Content Prediction Model Based on a Combined Spectral Index and Successive Projections Algorithm Using Vis-NIR Spectroscopy
文献类型：期刊论文
| 作者 | Xia, Ke3; Xia, Shasha; Shen, Qiang5; Zhang, Shiwen4; Li, Cheng1,6; Cheng, Qi3; Zhou, Ji2 |
| 刊名 | SPECTROSCOPY
 |
| 出版日期 | 2020-12-01 |
| 卷号 | 35期号:12页码:24-34 |
| ISSN号 | 0887-6703 |
| 通讯作者 | Zhang, Shiwen(swzhangaust@163.com) ; Zhou, Ji(zhouji5020@163.com) |
| 英文摘要 | This study explores the problem of fast estimation of soil particle content by visible-near-infrared (vis-NIR) spectroscopy. Four spectral pre-processing methods were used, and it was found that the multiplicative scatter correction (MSC) preprocessing transformation can maintain the original spectral characteristics and effectively eliminate the influence of scattering, with the best effect. Compared with the spectral index (SI) established by the original spectral data, the SI established by the MSC greatly increases its correlation and sensitivity with the soil particle content. The partial least squares (PLS) and random forest (RF) models were optimized using the successive projections algorithm (SPA), and it was found that the model complexity and calculation amount were greatly reduced, and the model accuracy was improved. The reserved samples were verified, and a good prediction effect was achieved. Our results show that the combination of spectral index and successive projection algorithm can be used as an effective means for rapid prediction of soil particle content. |
| WOS关键词 | HEAVY-METAL CONTENT ; CHLOROPHYLL CONTENT ; VARIABLE SELECTION ; RANDOM FOREST ; CLASSIFICATION |
| 资助项目 | National Key Research and Development Program of China[2016YFD0300801] ; National Key Research and Development Program of China[2017YFF0206802] ; Open Fund of Shaanxi Key Laboratory of Land Consolidation[2018-ZD07] |
| WOS研究方向 | Spectroscopy |
| 语种 | 英语 |
| 出版者 | ADVANSTAR COMMUNICATIONS INC |
| WOS记录号 | WOS:000694857100006 |
| 资助机构 | National Key Research and Development Program of China ; Open Fund of Shaanxi Key Laboratory of Land Consolidation |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/165413]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Shiwen; Zhou, Ji |
| 作者单位 | 1.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 2.Land Management Ctr, Minist Land & Resources, Beijing, Peoples R China 3.Anhui Univ Sci & Technol, Sch Geomat, Huainan, Peoples R China 4.Anhui Univ Sci & Technol, Sch Earth & Environm, Huainan, Peoples R China 5.Hohai Univ, Sch Earth Sci & Engn, Nanjing, Jiangsu, Peoples R China 6.Univ Chinese Acad Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xia, Ke,Xia, Shasha,Shen, Qiang,et al. Optimization of a Soil Particle Content Prediction Model Based on a Combined Spectral Index and Successive Projections Algorithm Using Vis-NIR Spectroscopy[J]. SPECTROSCOPY,2020,35(12):24-34. |
| APA | Xia, Ke.,Xia, Shasha.,Shen, Qiang.,Zhang, Shiwen.,Li, Cheng.,...&Zhou, Ji.(2020).Optimization of a Soil Particle Content Prediction Model Based on a Combined Spectral Index and Successive Projections Algorithm Using Vis-NIR Spectroscopy.SPECTROSCOPY,35(12),24-34. |
| MLA | Xia, Ke,et al."Optimization of a Soil Particle Content Prediction Model Based on a Combined Spectral Index and Successive Projections Algorithm Using Vis-NIR Spectroscopy".SPECTROSCOPY 35.12(2020):24-34. |
入库方式： OAI收割
来源：地理科学与资源研究所
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