2010-2020年国际高光谱遥感研究的历程、热点和趋势--基于知识图谱的可视化分析

History,hotspots and trends of international hyperspectral remote sensing research from 2010 to 2020:Visualization analysis based on mapping knowledge domain

为客观呈现国际高光谱遥感领域的研究历程与发展趋势,以Web of Science数据库中2010—2020年收录的4563篇研究文献为数据来源,采用科学计量学的方法绘制了国际高光谱遥感研究科学知识图谱。结果表明:近10年高光谱遥感相关研究文献呈现高速增长趋势,中国、美国、德国等国家的发文量较多,发文机构主要集中在各国高校;Remote Sensing of Environment和IEEE相关期刊是该领域的权威刊物,Bioucas-dias JM、Fauvel M等人在该领域基础性研究方面作出了重要贡献;高光谱遥感的高被引文献分布在光谱成像技术、支持向量机、光谱数据分类等研究方向,并形成了光谱空间分类、卷积神经网络、植被检测和成像、解混算法等10个研究聚类;该领域的研究热点分布在图像分类、算法模型、光谱分辨率/反射率和植被分析4个方面,研究前沿包括光谱特性和反射、端元提取、机器学习、无人机、SVM等内容;高光谱遥感技术的发展促进了环境、生态、化学、计算机等多个领域跨学科研究的发展。

In order to objectively present the research history and development trend in the field of international hyperspectral remote sensing,taking 4563 literature records collected in the Web of Science database from 2010 to 2020 as the data source,the scientific knowledge map of international hyperspectral remote sensing research is drawn by using the method of scientometrics.The results show that the research literature related to hyperspectral remote sensing has shown a rapid growth trend in recent 10 years.There are a large number of papers in China,the United States,Germany and other countries,and the publishing institutions are mainly concentrated in colleges and universities in various countries.Remote Sensing of Environment and IEEE related journals are authoritative journals in this field.Bioucas-dias JM,Fauvel M and others have made important contributions to basic research in this field.The highly cited literatures of hyperspectral remote sensing are distributed in the research directions of spectral imaging technology,support vector machine and spectral data classification,and 10 research clusters are formed,such as spectral space classification,convolution neural network,vegetation detection and imaging,and unmixing algorithm.The research hotspots in this field are distributed in four aspects:image classification,algorithm model,spectral resolution/reflectance and vegetation analysis.The research frontiers include spectral characteristics and reflectance,end element extraction,machine leaning,UAV,SVM and so on.The development of hyperspectral remote sensing technology has promoted the development of interdisciplinary research in many fields such as environment,ecology,chemistry,computer and so on.