基于Citespace的无人机遥感研究知识图谱分析

为清晰了解国内外无人机遥感应用研究现状及发展态势，以Web of Science核心期刊为数据源，运用文献计量方法与Citespace可视化分析工具对无人机遥感研究的相关文献进行统计分析。结果表明：无人机遥感相关研究文献呈快速增长趋势，与遥感科学、工程学和影像科学摄影技术三门学科联系最为密切；美国、中国、西班牙等国家发文量较多，具备较强研究力量；中国科学院发文量最多，而西班牙最高科研理事会h指数最高，均有较大影响力；澳大利亚学者Lucieer A和西班牙学者Zarco-Tejada PJ的h指数较高，为该领域的代表性学者；无人机遥感技术包含多个研究方向，其中研究热点包括无人机遥感在农业科学和生态学等领域的应用研究、遥感影像分类方法的研究、摄影技术和计算机视觉技术的研究等三方面。

Knowledge Map Analysis of UAV Remote Sensing Research Based on Citespace

In recent years, remote sensing using unmanned aerial vehicles (UAV) has attracted considerable attention from scholars due to its advantages of low cost, high mobility, and high resolution. Therefore, understanding the research and development status of UAV remote sensing has become indispensable for research in this field. In this study, 1048 UAV remote sensing related publications in core journals of the Web of Science were visualized and analyzed by using Citespace software. Results showed that: first, after 2008, the relevant research literature of UAV remote sensing grew rapidly, mainly focused on remote sensing science, engineering, imaging science, photography technology, geology, physical geography, environmental science, ecology, agricultural science and other fields. Second, the United States, China, Spain, and other countries have a large number of publications and a strong research profile in the field of UAV remote sensing. Among them, the Chinese Academy of Sciences has the largest number of publications, and the h-index of Spain's top scientific research council is the highest, both of which have great influence. The h-indices of Australian scholar Lucieer A and Spanish scholar Zarco-Tejada PJ were relatively high and they are representative scholars in this field. Third, UAV remote sensing research is focused on the following three parts: 1) applied research of UAV remote sensing in the field of agriculture and ecology. UAV remote sensing can overcome the problems of high cost, low resolution, and weak turnover of traditional agricultural and ecological remote sensing products. 2) Thanks to the high resolution data of UAV remote sensing, research on image classification methods, such as support vector machine, neural network, and expert systems, has been promoted. 3) Research on photography and computer vision technology. UAV remote sensing can provide a large quantity of high-resolution data for 3d reconstruction research, which greatly promotes the development of 3d reconstruction, especially SfM (Structure-from-Motion).