Identifying Wood Based on Near-Infrared Spectra and Four Gray-Level Co-Occurrence Matrix Texture Features

Identifying wood accurately and rapidly is one of the best ways to prevent wood product fakes and adulterants in forestry products. Wood identification traditionally relies heavily on special experts that spend extensive time in the laboratory. A new method is proposed that uses near-infrared (NIR)...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Xi Pan, Kang Li, Zhangjing Chen, Zhong Yang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	near-infrared (NIR) spectra gray-level co-occurrence matrix (GLCM) wood identification feature fusion support vector machine (SVM) Plant ecology QK900-989
Acceso en línea:	https://doaj.org/article/8e35ca9b5e8746fbad7f53359b86a264
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!

Identifying Wood Based on Near-Infrared Spectra and Four Gray-Level Co-Occurrence Matrix Texture Features

Ejemplares similares