Improving the Accuracy of Soil Classification by Using Vis-NIR, MIR, and Their Spectra Fusion
Release Time:2026-07-01
Hits:
- Date:
- 2026-07-01
- DOI Number:
- 10.3390/rs17091524
- Institution:
- 城市与环境科学学院
- Title of Paper:
- Improving the Accuracy of Soil Classification by Using Vis-NIR, MIR, and Their Spectra Fusion
- Journal:
- Remote Sensing
- Key Words:
- spectroscopy;partial least-squares discriminant analysis (PLSDA);outer product analysis (OPA);random forest;proximal sensing
- Co-author:
- Cheng, Jun,Xu, Dongyun,Makar, Randa S.,Guo, Yan,Hu, Bifeng,Chen, Songchao,Hong, Yongsheng,Peng, Jie,Shi, Zhou
- First Author:
- 李硕
- Indexed by:
- Journal paper
- Correspondence Author:
- 沈雪
- Document Code:
- 1973035139588034560
- Document Type:
- 00001
- Volume:
- 17
- Issue:
- 09
- Page Number:
- 19
- Translation or Not:
- No
- Date of Publication:
- 2025-04-25
- Included Journals:
- 其他（ESI、Scopus、OA）、SCI