Soil Organic Matter Estimation Modeling Using Fractal Feature of Soil for vis-NIR Hyperspectral Imaging

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成果类型：

期刊论文

作者：

He, Shaofang;Zhou, Qing;Wang, Fang;Shen, Luming;Yang, Jing

通讯作者：

Wang, F

作者机构：

[Shen, Luming; He, Shaofang; Yang, Jing] Hunan Agr Univ, Coll Informat & Intelligence, Changsha, Peoples R China.

[Wang, F; Wang, Fang] Xiangtan Univ, Key Lab Intelligent Comp & Informat Proc, Minist Educ, Xiangtan, Peoples R China.

[Wang, F; Wang, Fang] Xiangtan Univ, Hunan Key Lab Computat & Simulat Sci & Engn, Xiangtan, Peoples R China.

[Zhou, Qing] Hunan Agr Univ, Coll Resources & Environm, Changsha, Hunan, Peoples R China.

通讯机构：

[Wang, F ] X

Xiangtan Univ, Key Lab Intelligent Comp & Informat Proc, Minist Educ, Xiangtan, Peoples R China.

Xiangtan Univ, Hunan Key Lab Computat & Simulat Sci & Engn, Xiangtan, Peoples R China.

语种：

英文

期刊：

SPECTROSCOPY

ISSN：

0887-6703

年：

2023

卷：

期：

SUPPL-11

页码：

40-47

DOI：

10.56530/spectroscopy.fz7077a2

基金类别：

National Natural Science Foundation of China [61973111]; Key Foundation of Hunan Educational Committee (CN) [22A0135]; Natural Science Foundation of Hunan Province [2023JJ30304]; National Science and Technology Basic Work Special Project [2014FY110200]

机构署名：

本校为第一机构

院系归属：

资源环境学院

摘要：

To produce a fast, accurate estimation for soil organic matter (SOM) by soil hyperspectral methods, we developed a novel intelligent inversion model based on multiscale fractal features combined with principal component analysis (PCA) of hyperspectral data. First, we calculated the local generalized Hurst exponent of the spectral reflectivity by multiscale multifractal detrended fluctuation analysis (MMA) while determining the sensitive spectral bands. PCA was employed to access the maximum principal component features of the sensitive bands used as the model input. Finally, two intelligent al...

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Soil Organic Matter Estimation Modeling Using Fractal Feature of Soil for vis-NIR Hyperspectral Imaging

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