Hyperspectral Inversion Model of Relative Heavy Metal Content in <i>Pennisetum sinese Roxb</i> via EEMD-db3 Algorithm

Detection rapidity and model accuracy are the keys to hyperspectral nondestructive testing technology, especially for <i>Pennisetum sinese Roxb</i> (<i>PsR</i>) due to its extremely high adsorptive heavy metal content. The study of the resolution of <i>PsR</i> is conducive to the analysis of the acc...

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Autores principales:	Ting Tang, Canming Chen, Weibin Wu, Ying Zhang, Chongyang Han, Jie Li, Ting Gao, Jiehao Li
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2023-01-01
Colección:	Remote Sensing
Materias:	<i>Pennisetum sinese Roxb</i> hyperspectral technology EEMD-db3 algorithm SPA CARS inversion model
Acceso en línea:	https://www.mdpi.com/2072-4292/15/1/251
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