Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine
Shaomin Chen,
Jiachen Gao,
Fangchuan Lou
et al.
Abstract:Background
Soil water content is one of the critical indicators in agricultural systems. Visible/near-infrared hyperspectral remote sensing is an effective method for soil water estimation. However, noise removal from massive spectral datasets and effective feature extraction are challenges for achieving accurate soil water estimation using this technology.
Methods
This study proposes a method for hyperspectral remote sensing soil water con… Show more
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