文献类型：期刊文献

中文题名：机器学习方法在木材树种识别领域的应用

英文题名：Application of Machine Learning Approaches to Wood Species Identification

作者：刘守佳[1,2] 汪嘉君[1,2,4] 陆杨[1,2] 郑昌[1,2] 焦立超[1,2] 郭娟[1,2] 殷亚方[1,2] 何拓[1,2,3]

第一作者：刘守佳

机构：[1]中国林业科学研究院木材工业研究所,北京100091;[2]国家林业和草原局木材标本资源库,北京100091;[3]国家林业和草原局野生动物保护监测中心,北京100714;[4]国家文物局考古研究中心,北京100013

年份：2023

卷号：36

期号：5

起止页码：70-75

中文期刊名：世界林业研究

外文期刊名：World Forestry Research

收录：北大核心:【北大核心2020】；CSCD:【CSCD2023_2024】；

基金：北京市自然科学基金项目“基于精细构造特征和深度学习的木材树种识别方法研究”(6224064)。

语种：中文

中文关键词：机器学习;木材识别;定量解剖;计算机视觉;化学指纹图谱;DNA条形码

外文关键词：machine learning;wood identification;quantitative anatomy;computer vision;chemical fingerprinting;DNA barcode

分类号：S781.1;TP181

摘要：随着全球林产品贸易量的剧增和木材非法贸易活动的加剧,珍稀濒危树种保护成为国际社会关注的焦点。发展科学准确的木材识别方法是保护全球森林资源、促进林产品国际贸易健康发展的重要途径。近年来,随着木材科学领域与计算机技术的不断交叉融合,机器学习方法被引入木材树种识别研究领域,促进了木材识别新技术的发展,突破了传统方法无法实现木材“种”水平精确快速识别的技术瓶颈,逐渐成为木材树种识别方向的研究热点。文中综述近年来机器学习方法在定量解剖、计算机视觉、化学指纹图谱、DNA条形码等木材树种识别研究中的应用,并讨论现存的问题及发展方向,以期为木材树种识别研究提供参考。
With the booming trade of global forest resources and the intensification of illegal timber trade,the protection of rare and endangered tree species has attracted the international attention.Developing sciencebased and accurate wood identification method has become an important means to protect global forest resources and promote the healthy development of international trade in forest products.In recent years,with the continuous integration of wood science and computer technology,machine learning method has been introduced into the field of wood science research,which promotes the development of new wood identification technologies and breaks through the technical bottleneck that traditional wood identification methods can not achieve accurate identification at wood"species"level,and this method gradually becomes a hotspot in the research field of wood species identification.This paper reviews the application of the machine learning method in wood identification research in recent years,such as quantitative anatomy,computer vision,chemical fingerprinting and DNA barcoding,and discusses the existing problems and potential research directions in order to provide references for wood species identification.