基于Citespace的无人机遥感研究知识图谱分析
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摘要
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。
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 3 d reconstruction research, which greatly promotes the development of 3 d reconstruction, especially SfM(Structure-from-Motion).
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 3 d reconstruction research, which greatly promotes the development of 3 d reconstruction, especially SfM(Structure-from-Motion).
引文
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Ad?o T,Hru?ka J,Pádua L,Bessa J,Peres E and Morais R.2017.Hyperspectral imaging:a review on UAV-based sensors,data processing and applications for agriculture and forestry.Remote Sensing,9(9):1110.
Berni J,Zarcotejada P J and Suarez L.2009.Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle.IEEE Transactions on Geoscience&Remote Sensing,47(3):722-738.
Bemis S P,Micklethwaite S and Turner D.2014.Ground-based and UAV-Based photogrammetry:A multi-scale,high-resolution mapping tool for structural geology and paleoseismology.Journal of Structural Geology,69(A):163-178.
Blyenburgh P V.1999.UAVs:an overview.Air&Space Europe,1(5):43-47.
Camille L,Philippe B,Guillaume J and Bruno R,LabbéSylvain and Baret Frédéric.2008.Assessment of unmanned aerial vehicles imagery for quantitative monitoring of wheat crop in small plots.Sensors,8(5):3557-3585.
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崔红霞,林宗坚,孙杰.2005b.大重叠度无人机遥感影像的三维建模方法研究.测绘科学,(2):36-38,4.[Cui Hongxia,Lin Zongjian and Sun Jie.2005.Study on 3D Modeling Methods for Large Overlap UAVRemote Sensing Images.Surveying and Mapping Science,(2):36-38,4.]
Darren T,Arko L and Christopher W.2012.An automated technique for generating georectified mosaics from ultra-high resolution unmanned aerial vehicle(uav)imagery,based on structure from motion(sfm)point clouds.Remote Sensing,4(5):1392-1410.
Duan S B,Li Z L,Wu H,Tang B H,Ma L and Zhao E.2014.Inversion of the prosail model to estimate leaf area index of maize,potato,and sunflower fields from unmanned aerial vehicle hyperspectral data.International Journal of Applied Earth Observation and Geoinformation,26:12-20.
Eltner A,Kaiser A,Castillo C,Gilles R.,Fabian N and Abellán Antonio.2016.Image-based surface reconstruction in geomorphometry-merits,limits and developments.Earth Surface Dynamics,4(2):359-389.
范承啸,韩俊,熊志军,赵毅.2009.无人机遥感技术现状与应用.测绘科学,34(5):214-215.[Fan Chengxiao,Han Jun,Xiong Zhijun and Zhao Yi.2009.Status and Application of UAV Remote Sensing Technology.Surveying and Mapping Science,34(5):214-215.]
Floreano D and Wood R J.2015.Science,technology and the future of small autonomous drones.Nature,521(7553):460-466.
冯家莉,刘凯,朱远辉,李勇,柳林,蒙琳.2015.无人机遥感在红树林资源调查中的应用.热带地理,35(1):35-42.[Feng Jiali,Liu Kai,Zhu Yuanhui,Li Yong,Liu Lin and Meng Lin.2015.Application of UAV remote sensing in mangrove resources investigation.Tropical Geography,35(1):35-42.]
Feng Q,Liu J and Gong J.2015.UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis.Remote Sensing,7(1):1074-1094.
Goerzen C,Kong Z and Mettler B.2010.A survey of motion planning algorithms from the perspective of autonomous UAV guidance.Journal of Intelligent&Robotic Systems,57(1/4):65-100.
龚建华,赵忠明.2008.四川汶川地震应急无人机遥感信息获取与应用.城市发展研究,(3):31-32,42.[Gong Jianhua and Zhao Zhongming.2008.Acquisition and Application of Remote Sensing Information of Unmanned Aerial Vehicles for Earthquake Emergency Response in Wenchuan,Sichuan.Urban Development Research,(3):31-32,42.]
高林,杨贵军,王宝山,于海洋,徐波,冯海宽.2015.基于无人机遥感影像的大豆叶面积指数反演研究.中国生态农业学报,23(7):868-876.[Gao Lin,Yang Guijun,Wang Baoshan,Yu Hai,Xu Bo and Feng Haikuan.2015.Inversion of Leaf Area Index of Soybean Based on Remote Sensing Images of Unmanned Aerial Vehicles.Chinese Journal of Eco-Agriculture,23(7):868-876.]
Getzin S,Wiegand K and Sch?ning I.2012.Assessing biodiversity in forests using very high-resolution images and unmanned aerial vehicles.Methods in Ecology&Evolution,3(2):397-404.
韩杰,王争.2008.无人机遥感国土资源快速监察系统关键技术研究.测绘通报,(2):4-6,15.[Han Jie and Wang Zheng.2008.Research on Key Technologies of UAV Remote Sensing Land and Resources Rapid Monitoring System.Surveying and Mapping Bulletin,(2):4-6,15.]
胡健波,张健.2018.无人机遥感在生态学中的应用进展.生态学报,38(1):20-30.[Hu Jianbo and Zhang Jian.Application of UAV Remote Sensing in ecology.Acta Ecologica Sinica,38(1):20-30.]
胡同喜,牛雪峰,谭洋,陈新鹏.2015.基于SURF算法的无人机遥感影像拼接技术.测绘通报,(1):55-58,74.[Hutongxi,Niu Xuefeng,Tan Yang and Chen Xinpeng.2015.UAV remote sensing image mosaic technology based on SURF algorithm.Surveying and Mapping Bulletin,(1):55-58,74.]
洪宇,龚建华,胡社荣,黄明祥.2008.无人机遥感影像获取及后续处理探讨.遥感技术与应用,(4):462-466,361.[Hong Yu,Gong Jianhua,Hu She-rong and Huang Mingxiang.2008.Discussion on the acquisition and subsequent processing of UAV remote sensing images.Remote Sensing Technology and Application,(4):462-466,361.]
Jaakkola A,Hyyppa J,Kukko A,Yu X,Kaartinen H and LehtomaKi M.2010.A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements.ISPRS Journal of Photogrammetry and Remote Sensing,65(6):514-522.
Joshua K and Arko L.2012.Sensor correction of a 6-band multispectral imaging sensor for UAV remote sensing.Remote sensing,4(5):1462-1493.
贾坤,李强子,田亦陈,吴炳方.2011.遥感影像分类方法研究进展.光谱学与光谱分析,31(10):2618-2623.[Jia Kun,Li Qiangzi,Tian Yuchen,Wu Bingfang.2011.A Review of Classification Methods of Remote Sensing Imagery.Spectroscopy and Spectral Analysis/Spectrosc Spect Anal,31(10):2618-2623.]
金伟,葛宏立,杜华强,徐小军.2009.无人机遥感发展与应用概况.遥感信息,(1):88-92.[Jin Wei,Ge Hongli,Du Huaqiang and Xu Xiaojun.2009.Development and application of UAV remote sensing.Remote sensing information,(1):88-92.]
Kim J,Lee D W,Cho K,Jo S,Kim J and Min C.2010.Development of an electro-optical system for small UAV.Aerospace Science&Technology,14(7):505-511.
Kedzierski M and Wierzbicki D.2015.Radiometric quality assessment of images acquired by UAV’s in various lighting and weather conditions.Measurement,76:156-169.
李冰,刘镕源,刘素红,刘强,刘峰,周公器.2012.基于低空无人机遥感的冬小麦覆盖度变化监测.农业工程学报,28(13):160-165.[Li Bing,Liu Rongyuan,Liu Suhong,Liu Qiang,Liu Feng and Zhou Gongzhen.2012.Winter wheat coverage change monitoring based on low altitude UAV remote sensing.Journal of Agricultural Engineering,28(13):160-165.]
李德仁,李明.2014.无人机遥感系统的研究进展与应用前景.武汉大学学报(信息科学版),39(5):505-513,540.[Li Deren and Li Ming.2014.Research progress and application prospect of UAV remote sensing system.Journal of Wuhan University(Information Science Edition),39(5):505-513,540.]
李劲澎,姜挺,肖达,王俊超.2016.基于关系图的无人机影像三维重建.光学精密工程,24(6):1501-1509.[Li Jinpeng,Jiang Ting,Xiaoda and Wang Junchao.2016.Three-dimensional reconstruction of UAV images based on graph.Optical Precision Engineering,24(6),1501-1509.]
李明,刘欢,朱欣焰.2012.一种面向灾害应急的UAV影像快速拼接方法.灾害学,27(3):139-144.[Li Ming,Liu Huan and Zhu Xinyan.2012.A rapid method of UAV image mosaic for disaster emergency.Disaster Science,27(3):139-144.]
Lin Y,Hyypp?Juha and Jaakkola A.2011.Mini-UAV-Borne LIDAR for Fine-Scale Mapping.IEEE Geoscience&Remote Sensing Letters,8(3):426-430.
Ma L,Li M,Ma X,Cheng L,Du P and Liu Y.2017.A review of supervised object-based land-cover image classification.ISPRS Journal of Photogrammetry and Remote Sensing,130:277-293.
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万幼川,张永军.2009.摄影测量与遥感学科发展现状与趋势.工程勘察,37(6):6-12.[Wan Youchuan and Zhang Yongjun.2009.Present situation and trend of photogrammetry and remote sensing.Engineering Survey,37(6):6-12.]
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臧克,孙永华,李京,闫志壮,宫辉力,李小娟,赵文吉.2010.微型无人机遥感系统在汶川地震中的应用.自然灾害学报,19(3):162-166.[Zang Ke,Sun Yonghua,Li Jing,Yan Zhizhuang,Gong Huili,Li Xiaojuan and Zhao Wenji.2010.Application of Micro UAV Remote Sensing System in Wenchuan Earthquake.Journal of Natural Disasters,19(3):162-166.]
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张园,陶萍,梁世祥,梁万里.2011.无人机遥感在森林资源调查中的应用.西南林业大学学报,31(3):49-53.[Zhang Yuan,Tao Ping,Liang Shixiang and Liang Wanli.2011.Application of UAV remote sensing in forest resources investigation.Journal of Southwest Forestry University,31(3):49-53.]
Ad?o T,Hru?ka J,Pádua L,Bessa J,Peres E and Morais R.2017.Hyperspectral imaging:a review on UAV-based sensors,data processing and applications for agriculture and forestry.Remote Sensing,9(9):1110.
Berni J,Zarcotejada P J and Suarez L.2009.Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle.IEEE Transactions on Geoscience&Remote Sensing,47(3):722-738.
Bemis S P,Micklethwaite S and Turner D.2014.Ground-based and UAV-Based photogrammetry:A multi-scale,high-resolution mapping tool for structural geology and paleoseismology.Journal of Structural Geology,69(A):163-178.
Blyenburgh P V.1999.UAVs:an overview.Air&Space Europe,1(5):43-47.
Camille L,Philippe B,Guillaume J and Bruno R,LabbéSylvain and Baret Frédéric.2008.Assessment of unmanned aerial vehicles imagery for quantitative monitoring of wheat crop in small plots.Sensors,8(5):3557-3585.
崔红霞,林宗坚,孙杰.2005a.无人机遥感监测系统研究.测绘通报,(5):11-14.[Cui Hongxia,Lin Zongjian and Sun Jie.2005.UAVremote sensing monitoring system.Surveying and Mapping Bulletin,(5):11-14.]
崔红霞,林宗坚,孙杰.2005b.大重叠度无人机遥感影像的三维建模方法研究.测绘科学,(2):36-38,4.[Cui Hongxia,Lin Zongjian and Sun Jie.2005.Study on 3D Modeling Methods for Large Overlap UAVRemote Sensing Images.Surveying and Mapping Science,(2):36-38,4.]
Darren T,Arko L and Christopher W.2012.An automated technique for generating georectified mosaics from ultra-high resolution unmanned aerial vehicle(uav)imagery,based on structure from motion(sfm)point clouds.Remote Sensing,4(5):1392-1410.
Duan S B,Li Z L,Wu H,Tang B H,Ma L and Zhao E.2014.Inversion of the prosail model to estimate leaf area index of maize,potato,and sunflower fields from unmanned aerial vehicle hyperspectral data.International Journal of Applied Earth Observation and Geoinformation,26:12-20.
Eltner A,Kaiser A,Castillo C,Gilles R.,Fabian N and Abellán Antonio.2016.Image-based surface reconstruction in geomorphometry-merits,limits and developments.Earth Surface Dynamics,4(2):359-389.
范承啸,韩俊,熊志军,赵毅.2009.无人机遥感技术现状与应用.测绘科学,34(5):214-215.[Fan Chengxiao,Han Jun,Xiong Zhijun and Zhao Yi.2009.Status and Application of UAV Remote Sensing Technology.Surveying and Mapping Science,34(5):214-215.]
Floreano D and Wood R J.2015.Science,technology and the future of small autonomous drones.Nature,521(7553):460-466.
冯家莉,刘凯,朱远辉,李勇,柳林,蒙琳.2015.无人机遥感在红树林资源调查中的应用.热带地理,35(1):35-42.[Feng Jiali,Liu Kai,Zhu Yuanhui,Li Yong,Liu Lin and Meng Lin.2015.Application of UAV remote sensing in mangrove resources investigation.Tropical Geography,35(1):35-42.]
Feng Q,Liu J and Gong J.2015.UAV Remote Sensing for Urban Vegetation Mapping Using Random Forest and Texture Analysis.Remote Sensing,7(1):1074-1094.
Goerzen C,Kong Z and Mettler B.2010.A survey of motion planning algorithms from the perspective of autonomous UAV guidance.Journal of Intelligent&Robotic Systems,57(1/4):65-100.
龚建华,赵忠明.2008.四川汶川地震应急无人机遥感信息获取与应用.城市发展研究,(3):31-32,42.[Gong Jianhua and Zhao Zhongming.2008.Acquisition and Application of Remote Sensing Information of Unmanned Aerial Vehicles for Earthquake Emergency Response in Wenchuan,Sichuan.Urban Development Research,(3):31-32,42.]
高林,杨贵军,王宝山,于海洋,徐波,冯海宽.2015.基于无人机遥感影像的大豆叶面积指数反演研究.中国生态农业学报,23(7):868-876.[Gao Lin,Yang Guijun,Wang Baoshan,Yu Hai,Xu Bo and Feng Haikuan.2015.Inversion of Leaf Area Index of Soybean Based on Remote Sensing Images of Unmanned Aerial Vehicles.Chinese Journal of Eco-Agriculture,23(7):868-876.]
Getzin S,Wiegand K and Sch?ning I.2012.Assessing biodiversity in forests using very high-resolution images and unmanned aerial vehicles.Methods in Ecology&Evolution,3(2):397-404.
韩杰,王争.2008.无人机遥感国土资源快速监察系统关键技术研究.测绘通报,(2):4-6,15.[Han Jie and Wang Zheng.2008.Research on Key Technologies of UAV Remote Sensing Land and Resources Rapid Monitoring System.Surveying and Mapping Bulletin,(2):4-6,15.]
胡健波,张健.2018.无人机遥感在生态学中的应用进展.生态学报,38(1):20-30.[Hu Jianbo and Zhang Jian.Application of UAV Remote Sensing in ecology.Acta Ecologica Sinica,38(1):20-30.]
胡同喜,牛雪峰,谭洋,陈新鹏.2015.基于SURF算法的无人机遥感影像拼接技术.测绘通报,(1):55-58,74.[Hutongxi,Niu Xuefeng,Tan Yang and Chen Xinpeng.2015.UAV remote sensing image mosaic technology based on SURF algorithm.Surveying and Mapping Bulletin,(1):55-58,74.]
洪宇,龚建华,胡社荣,黄明祥.2008.无人机遥感影像获取及后续处理探讨.遥感技术与应用,(4):462-466,361.[Hong Yu,Gong Jianhua,Hu She-rong and Huang Mingxiang.2008.Discussion on the acquisition and subsequent processing of UAV remote sensing images.Remote Sensing Technology and Application,(4):462-466,361.]
Jaakkola A,Hyyppa J,Kukko A,Yu X,Kaartinen H and LehtomaKi M.2010.A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements.ISPRS Journal of Photogrammetry and Remote Sensing,65(6):514-522.
Joshua K and Arko L.2012.Sensor correction of a 6-band multispectral imaging sensor for UAV remote sensing.Remote sensing,4(5):1462-1493.
贾坤,李强子,田亦陈,吴炳方.2011.遥感影像分类方法研究进展.光谱学与光谱分析,31(10):2618-2623.[Jia Kun,Li Qiangzi,Tian Yuchen,Wu Bingfang.2011.A Review of Classification Methods of Remote Sensing Imagery.Spectroscopy and Spectral Analysis/Spectrosc Spect Anal,31(10):2618-2623.]
金伟,葛宏立,杜华强,徐小军.2009.无人机遥感发展与应用概况.遥感信息,(1):88-92.[Jin Wei,Ge Hongli,Du Huaqiang and Xu Xiaojun.2009.Development and application of UAV remote sensing.Remote sensing information,(1):88-92.]
Kim J,Lee D W,Cho K,Jo S,Kim J and Min C.2010.Development of an electro-optical system for small UAV.Aerospace Science&Technology,14(7):505-511.
Kedzierski M and Wierzbicki D.2015.Radiometric quality assessment of images acquired by UAV’s in various lighting and weather conditions.Measurement,76:156-169.
李冰,刘镕源,刘素红,刘强,刘峰,周公器.2012.基于低空无人机遥感的冬小麦覆盖度变化监测.农业工程学报,28(13):160-165.[Li Bing,Liu Rongyuan,Liu Suhong,Liu Qiang,Liu Feng and Zhou Gongzhen.2012.Winter wheat coverage change monitoring based on low altitude UAV remote sensing.Journal of Agricultural Engineering,28(13):160-165.]
李德仁,李明.2014.无人机遥感系统的研究进展与应用前景.武汉大学学报(信息科学版),39(5):505-513,540.[Li Deren and Li Ming.2014.Research progress and application prospect of UAV remote sensing system.Journal of Wuhan University(Information Science Edition),39(5):505-513,540.]
李劲澎,姜挺,肖达,王俊超.2016.基于关系图的无人机影像三维重建.光学精密工程,24(6):1501-1509.[Li Jinpeng,Jiang Ting,Xiaoda and Wang Junchao.2016.Three-dimensional reconstruction of UAV images based on graph.Optical Precision Engineering,24(6),1501-1509.]
李明,刘欢,朱欣焰.2012.一种面向灾害应急的UAV影像快速拼接方法.灾害学,27(3):139-144.[Li Ming,Liu Huan and Zhu Xinyan.2012.A rapid method of UAV image mosaic for disaster emergency.Disaster Science,27(3):139-144.]
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