机器学习方法在木材树种识别领域的应用  

Application of Machine Learning Approaches to Wood Species Identification

作　　者：刘守佳 汪嘉君 陆杨 郑昌 焦立超[1,2] 郭娟 殷亚方[1,2] 何拓 Liu Shoujia;Wang Jiajun;Lu Yang;Zheng Chang;Jiao Lichao;Guo Juan;Yin Yafang;He Tuo(Research Institute of Wood Industry,Chinese Academy of Forestry,Beijing 100091,China;Wood Specimen Resource Center of National Forestry and Grassland Administration,Beijing 100091,China;Wildlife Conservation Monitoring Center,National Forestry and Grassland Administration,Beijing 100714,China;National Centre for Archaeology,National Culture Heritage Administration,Beijing 100013,China)

机构地区：[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

出　　处：《世界林业研究》2023年第5期70-75,共6页World Forestry Research

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)。

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.

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 

分 类 号：S781.1[农业科学—木材科学与技术] TP181[农业科学—林学]