Improving the Accuracy of Soil Classification by Using Vis–NIR, MIR, and Their Spectra Fusion

Improving the Accuracy of Soil Classification by Using Vis–NIR, MIR, and Their Spectra Fusion

Soil spectroscopy offers a rapid, cost-effective alternative to traditional soil analyses for characterization and classification. Previous studies have mainly focused on predicting soil categories using single sensors, particularly visible–near-infrared (vis–NIR) or mid-infrared (MIR) spectroscopy....

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Bibliographic Details
Main Authors: Shuo Li, Xinru Shen, Xue Shen, Jun Cheng, Dongyun Xu, Randa S. Makar, Yan Guo, Bifeng Hu, Songchao Chen, Yongsheng Hong, Jie Peng, Zhou Shi
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
spectroscopy
proximal sensing
random forest
partial least-squares discriminant analysis (PLSDA)
outer product analysis (OPA)
Online Access:https://www.mdpi.com/2072-4292/17/9/1524
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