Semi-supervised DNN regression on airborne hyperspectral imagery for improved spatial soil properties prediction

Geoderma(2021)

引用 36|浏览6
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摘要
•Effective strategies for band selection and feature extraction.•A novel semi-supervised deep neural network regression (Semi-DNNR) model.•The performance of semi-DNNR is better than PLSR and SVR.•Hydrological analysis for spatial adsorption and transportation of the soil components.•The correlation and mechanism analysis between soil organic matter and arsenic.
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关键词
Hyperspectral imagery,Soil organic matter,Heavy metals,Semi-supervised deep neural network regression,Spatial transportation and aggregation,VNIR-SWIR spectroscopy
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