Identification of hybrid tuliptree and parental species by near infrared hyperspectral imaging （NIR-HSI） spectroscopy-Reference-Cited by-同舟云学术

Identification of hybrid tuliptree and parental species by near infrared hyperspectral imaging （NIR-HSI） spectroscopy

Published:2022-08-29 Issue: Volume: Page:
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Author:

Chen Zhenan¹,Wu Haoqi¹,Gao Handong¹,Xue Xiaoming²

Affiliation:

1. Nanjing Forestry University

2. Nanjing Forest Police College

Abstract

Abstract Hybrid tuliptree (Liriodendron sion-americanum P.C. Yieh ex Shang et Z.R. Wang) has good wood quality and been widely used in furniture and other fields. Compared with parental species, hybrid tuliptree displayed faster growth rate, better wood quality and wider adaptability. But the morphological properties of hybrid tuliptree and parental species are highly similar, its identification has become an urgent problem. This study aims to evaluate the capabilities of near infrared hyperspectral imaging (NIR-HSI) technique to identify hybrid tuliptree, Chinese tuliptree, and tuliptree. For this purpose, the building models were carried out using Partial least squares discriminant analysis (PLS-DA) and support vector machine (SVM) after different data treatment. The results demonstrated that NIR-HSI spectroscopy combined with successive projections algorithm (SPA) treatment and SVM model can achieve the highest prediction accuracy (100%). This study shows that NIR-HSI technique has great potential in the genus Liriodendron identification and is suitable for classifying highly similar woods.

Publisher

Research Square Platform LLC

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