基于知识图谱的夜光遥感研究热点前沿分析  

Analysis of Research Hotspots and Frontier in Nighttime Remote Sensing Based on Knowledge Mapping

作　　者：罗婧 吴静[1,2,3] 董健 王毓乾 LUO Jing;WU Jing;DONG Jian;WANG Yuqian(School of Surveying,Mapping and Spatial Information Engineering,East China University of Technology,330013,Nanchang,PRC;Key Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources,East China University of Technology,330013,Nanchang,PRC;Jiangxi Province Engineering Research Center of Surveying,Mapping and Geographic Information,330025,Nanchang,PRC;College of Computer Science and Technology,Yibin University,644000,Yibin,Sichuan,PRC)

机构地区：[1]东华理工大学测绘与空间信息工程学院,南昌330013 [2]东华理工大学自然资源部环鄱阳湖区域矿山环境监测与治理重点实验室,南昌330013 [3]江西省测绘地理信息工程技术研究中心,南昌330025 [4]宜宾学院计算机科学与技术学院,四川宜宾644000

出　　处：《江西科学》2025年第2期281-290,共10页Jiangxi Science

基　　金：江西省自然科学基金项目(20202BABL202045);江西省研究生创新专项资金项目(YC2023-S562);江西省自然资源厅重点科技项目(ZRKJ20232424);宜宾学院科研启动项目(2023QH14)。

摘　　要：为探讨近30年夜光遥感研究的热点及发展趋势,基于CiteSpace软件对对1990—2024年间WOS数据库收录的核心文献和CNKI中的北大核心及CSCD库期刊文献进行计量分析,并绘制知识图谱。结果表明:1)夜光遥感的研究经历了“萌芽阶段”“缓慢累积阶段”和“快速发展阶段”,呈现出由缓慢增长到快速发展的趋势;2)各研究机构和合作者之间联系紧密,国内外作者合作情况整体呈现集群分布,显示了夜光遥感领域在不同时间段的多样化研究方向;3)通过关键词聚类分析发现,中文文献关键词聚类主要集中在人类活动、人口分布和影响机制,英文文献关键词聚类突显了夜光遥感研究成果存在“数据处理与分析”“技术与方法的创新”“多尺度多时相分析”的三大特征;4)通过关键词突现与近3年关键词共线图谱发现,关键词“Machine learning”的高频出现及“SDGSAT-1”独立节点的出现,正不断推动夜光遥感的技术创新和数据应用突破。To explore the research hotspots and development trends in nighttime remote sensing over the past 30 years,a bibliometric analysis was conducted using CiteSpace software on core literature indexed in the WOS database,as well as journals from the Peking University Core and CSCD databases in CNKI,spanning from 1990 to 2024.The results show that:1)Nighttime remote sensing research has gone through the“initial stage”“slow accumulation stage”and“rapid development stage”,exhibiting a trend of gradual growth followed by rapid development.2)There are close connections between various research institutions and collaborators,with domestic and international author collaborations displaying a cluster distribution,which underscores diverse research directions in nighttime remote sensing at different time periods.3)Keyword clustering analysis found that Chinese literature clusters mainly focus on human activities,population distribution,and impact mechanisms,while English literature clusters highlight three major characteristics of nighttime remote sensing research:“data processing and analysis”“innovation in technologies and methods”and“multi-scale and multi-temporal analysis”.4)Keyword burst analysis and co-occurrence maps from the past three years reveal the frequent appearance of the keyword“Machine learning”and the emergence of the independent node for“SDGSAT-1”,which are continuously driving technological innovation and breakthroughs in data applications for nighttime remote sensing.

关 键 词：夜光遥感 CITESPACE 知识图谱 研究热点 

分 类 号：P237[天文地球—摄影测量与遥感]