无人机组网遥感数据体系建设评介

doi:10.18306/dlkxjz.2021.09.003

Abstract

Abstract:

The remote sensing data from unmanned aerial vehicle (UAV) networking refer to the remote sensing observation data obtained under the condition of UAV networking. With the increasing complexity of the UAV networking system, the acquired remote sensing data have grown geometrically, which means that it is urgent to construct a standardized UAV networking remote sensing data management architecture matching the UAV networking technology. Unfortunately, there exists no integrated remote sensing data architecture of UAV networking globally. There is also a lack of literature to systematically introduce the architecture of remote sensing data from UAV networking. This study elaborated systematically the development history of remote sensing data from UAV networking, characteristics of the data, data definition and classification standards, acquisition and processing procedures, and different application scenarios. Finally, a preliminary proposal for the architecture construction of remote sensing data from UAV networking is presented. The results of this study may be useful for the exploration of constructing UAV networking remote sensing data architecture, and provide some references for the formulation of relevant industrial standards for UAV networking, as well as the in-depth application of UAV networking remote sensing data.

Key words: UAV networking, architecture of remote sensing data, observation data, metadata, application scenarios

WANG Yong, YANG Yusen, WANG Shibo, YANG Yu, ZHANG Rui. A review on the architecture construction of remote sensing data from unmanned aerial vehicle networking[J].PROGRESS IN GEOGRAPHY, 2021, 40(9): 1467-1479.

Figures/Tables 5

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References 63

[1]	刘丹丹, 姜志敏. 军事无人机作战应用及发展趋势[J]. 舰船电子对抗, 2020, 43(6):30-33, 38.
	[ Liu Dandan, Jiang Zhimin. Combat applications and development trends of military UAV. Shipboard Electronic Countermeasure, 2020, 43(6):30-33, 38. ]
[2]	孔维哲. 无人机航空遥感技术在土地勘测定界中的应用研究[J]. 科学技术创新, 2020(17):194-195.
	[ Kong Weizhe. Research on the application of UAV aerial remote sensing technology in the field of land survey. Scientific and Technological Innovation, 2020(17):194-195. ]
[3]	田瑜基. 智慧城市高分卫星综合应用服务平台研究[J]. 智能建筑与智慧城市, 2020(12):42-44, 51.
	[ Tian Yuji. Research on integrated application service platform of smart city high-resolution satellite. Intelligent Building & Smart City, 2020(12):42-44, 51. ]
[4]	钟剑峰, 王红军. 基于5G和无人机智能组网的应急通信技术[J]. 电讯技术, 2020, 60(11):1290-1296.
	[ Zhong Jianfeng, Wang Hongjun. Emergency communication technology based on 5G and drone intelligent networking. Telecommunication Engineering, 2020, 60(11):1290-1296. ]
[5]	陈明辉. 南京: 南京航空航天大学, 无人机组网及网络信息共享的研究[D]. 2005.
	[ Chen Minghui. Research on unmanned aero vehicle net and networks information share. Nanjing, China: Nanjing University of Aeronautics and Astronautics, 2005. ]
[6]	王东. 无人机协同组网感知融合技术研究[D]. 成都: 电子科技大学, 2015.
	[ Wang Dong. The research of data fusion perception rule mining in UAVs cooperative network. Chengdu, China: University of Electronic Science and Technology of China, 2015. ]
[7]	朱文捷. 基于动态组网和计算卸载的多无人机协作平台的设计与实现[D]. 南京: 东南大学, 2019.
	[ Zhu Wenjie. Design and implementation of multi-UAV collaboration platform based on dynamic networking and computing offloading. Nanjing, China: Southeast University, 2019. ]
[8]	马乐. 无人机航空遥感系统关键技术分析[J]. 中国设备工程, 2020(17):195-197.
	[ Ma Le. Analysis of key technologies of UAV aerial remote sensing system. China Plant Engineering, 2020(17):195-197. ]
[9]	薛艳丽, 李英成, 王广亮, 等. 民用轻小型无人机监管与遥感组网观测技术[J]. 北京测绘, 2019, 33(8):912-915.
	[ Xue Yanli, Li Yingcheng, Wang Guangliang, et al. Supervision and remote sensing network observation technology of civil light and small UAV. Beijing Surveying and Mapping, 2019, 33(8):912-915. ]
[10]	吴超宇. 无人机集群遥感观测浅析[J]. 数字技术与应用, 2019, 37(4):205-207.
	[ Wu Chaoyu. Analysis of remote sensing observation of UAV cluster. Digital Technology & Application, 2019, 37(4):205-207. ]
[11]	杨绍雄, 韩戈白, 陈柯, 等. 主数据全生命周期管理在航空行业的应用[J]. 网络安全技术与应用, 2020(11):129-131.
	[ Yang Shaoxiong, Han Gebai, Chen Ke, et al. Application of master data life cycle management in aviation industry. Network Security Technology & Application, 2020(11):129-131. ]
[12]	廖小罕, 周成虎. 轻小型无人机遥感发展报告 [M]. 北京: 科学出版社, 2016: 16-21.
	[ Liao Xiaohan, Zhou Chenghu. Development report on remote sensing for light and small UAVs. Beijing, China: Science Press, 2016: 16-21. ]
[13]	胡晓. 基于无人机遥感的高潜水位煤矿区沉陷耕地信息提取方法[D]. 泰安: 山东农业大学, 2020.
	[ Hu Xiao. Information extraction methods of subsidence cultivated land in high-groundwater-level coal mines based on unmanned aerial vehicle remote sensing. Tai'an, China: Shandong Agricultural University, 2020. ]
[14]	王康丽. 基于无人机可见光和热红外图像的棉花冠层信息识别[D]. 北京: 中国农业科学院, 2019.
	[ Wang Kangli. Cotton canopy information recognition based on visible light and thermal infrared image of UAV. Beijing, China: Chinese Academy of Agricultural Sciences, 2019. ]
[15]	奚绍礼. 基于星载热红外与可见光数据融合构建三维温度场的研究[D]. 鞍山: 辽宁科技大学, 2020.
	[ Xi Shaoli. Research on temperature field based on spaceborne thermal infrared and visible light remote sensing data. Anshan, China: University of Science and Technology Liaoning, 2020. ]
[16]	LaBaw C. Airborne imaging spectrometer: An advanced concept instrument[C]// Mollicone R A, Spiro I J. Proceedings SPIE 0430, infrared technology IX, 27th Annual technical symposium. San Diego, USA, 1984. doi: 10.1117/12.936372. doi: 10.1117/12.936372
[17]	徐力智. 航空摆扫式成像光谱仪成像质量研究[D]. 长春: 中国科学院长春光学精密机械与物理研究所, 2020.
	[ Xu Lizhi. Research on imaging quality for airborne sweeping hyperspectral imager. Changchun, China: Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, 2020. ]
[18]	徐维. 基于机载激光雷达的电力线信息重建技术研究[J]. 激光杂志, 2020, 41(12):114-117.
	[ Xu Wei. Research on power line information reconstruction technology based on airborne lidar. Laser Journal, 2020, 41(12):114-117. ]
[19]	陆钱融. 机载合成孔径雷达成像和运动补偿技术研究[D]. 上海: 上海交通大学, 2019.
	[ Lu Qianrong. Airborne synthetic aperture radar imaging and research on motion compensation. Shanghai, China: Shanghai Jiao Tong University, 2019. ]
[20]	王绍洲. 多旋翼无人机测绘数据处理关键技术探讨[J]. 华北自然资源, 2020(5):82-84.
	[ Wang Shaozhou. Discussion on key technology of mapping data processing for multi-rotor UAV. Huabei Natural Resources, 2020(5):82-84. ]
[21]	蒋汪洋, 刘加生, 吴薇. 长航时固定翼无人机在黑龙江省应急测绘保障任务中的应用[J]. 测绘与空间地理信息, 2020, 43(S1):187-189,193.
	[ Jiang Wangyang, Liu Jiasheng, Wu Wei. Application of long endurance fixed wing UAV in emergency surveying and mapping support mission of Heilongjiang Province. Geomatics & Spatial Information Technology, 2020, 43(S1):187-189,193. ]
[22]	贾高伟, 王建峰. 无人机集群任务规划方法研究综述[J]. 系统工程与电子技术, 2021, 43(1):99-111.
	[ Jia Gaowei, Wang Jianfeng. Research review of UAV swarm mission planning method. Systems Engineering and Electronics, 2021, 43(1):99-111. ]
[23]	谷旭平, 唐大全, 唐管政. 无人机集群关键技术研究综述[J]. 自动化与仪器仪表, 2021(4):21-26, 30.
	[ Gu Xu-ping, Tang Daquan, Tang Guanzheng. Summary of research on key technologies of UAVSwarms. Automation & Instrumentation, 2021(4):21-26, 30. ]
[24]	孙小雷, 齐乃明, 董程, 等. 无人机任务分配与航迹规划协同控制方法[J]. 系统工程与电子技术, 2015, 37(12):2772-2776.
	[ Sun Xiaolei, Qi Naiming, Dong Cheng, et al. Cooperative control algorithm of task assignment and path planning for multiple UAVs. Systems Engineering and Electronics, 2015, 37(12):2772-2776. ]
[25]	Sun J Y, Tang J, Lao S Y. Collision avoidance for cooperative UAVs with optimized artificial potential field algorithm[J]. IEEE Access, 2017, 5:18382-18390. doi: 10.1109/ACCESS.2017.2746752
[26]	Pehlivanoglu Y V. A new vibrational genetic algorithm enhanced with a Voronoi diagram for path planning of autonomous UAV[J]. Aerospace Science and Technology, 2012, 16(1):47-55. doi: 10.1016/j.ast.2011.02.006
[27]	樊邦奎, 张瑞雨. 无人机系统与人工智能[J]. 武汉大学学报(信息科学版), 2017, 42(11):1523-1529.
	[ Fan Bangkui, Zhang Ruiyu. Unmanned aircraft system and artificial intelligence. Geomatics and Information Science of Wuhan University, 2017, 42(11):1523-1529. ]
[28]	Besada-Portas E, de La Torre L, Moreno A, et al. On the performance comparison of multi-objective evolutionary UAV path planners[J]. Information Sciences, 2013, 238:111-125. doi: 10.1016/j.ins.2013.02.022
[29]	齐小刚, 李博, 范英盛, 等. 多约束下多无人机的任务规划研究综述[J]. 智能系统学报, 2020, 15(2):204-217.
	[ Qi Xiaogang, Li Bo, Fan Yingsheng, et al. A survey of mission planning on UAVs systems based on multiple constraints. CAAI Transactions on Intelligent Systems, 2020, 15(2):204-217. ]
[30]	刘利强, 李刚, 赵玉新. 无人智能运载器航路规划方法及其应用 [M]. 北京: 科学出版社, 2014: 112-157.
	[ Liu Liqiang, Li Gang, Zhao Yuxin. Unmanned intelligent launch vehicle path planning method and application. Beijing, China: Science Press, 2014: 112-157. ]
[31]	孙长奎, 刘善磊, 王圣尧, 等. 浅谈无人机遥感技术在智慧城市建设中的应用[J]. 国土资源遥感, 2018, 30(4):8-12.
	[ Sun Changkui, Liu Shanlei, Wang Shengyao, et al. Application of UAV in construction of smart city. Remote Sensing for Land & Resources, 2018, 30(4):8-12. ]
[32]	刘倩, 梁志海, 范慧芳. 浅谈无人机遥感的发展及其行业应用[J]. 测绘与空间地理信息, 2016, 39(6):167-169.
	[ Liu Qian, Liang Zhihai, Fan Huifang. The development of UAV remote sensing and its application in geo-information related industries. Geomatics & Spatial Information Technology, 2016, 39(6):167-169. ]
[33]	Hossein Motlagh N, Taleb T, Arouk O. Low-altitude unmanned aerial vehicles-based internet of things services: Comprehensive survey and future perspectives[J]. IEEE Internet of Things Journal, 2016, 3(6):899-922. doi: 10.1109/JIOT.2016.2612119
[34]	李德仁, 李明. 无人机遥感系统的研究进展与应用前景[J]. 武汉大学学报(信息科学版), 2014, 39(5):505-513, 540.
	[ Li Deren, Li Ming. Research advance and application prospect of unmanned aerial vehicle remote sensing system. Geomatics and Information Science of Wuhan University, 2014, 39(5):505-513, 540. ]
[35]	Noor F, Khan M A, Al-Zahrani A, et al. A review on communications perspective of flying Ad-Hoc networks: Key enabling wireless technologies, applications, challenges and open research topics[J]. Drones, 2020, 4(4):65. doi: 10.3390/drones4040065. doi: 10.3390/drones4040065
[36]	Wang H W, Quan J C, Liu Y, et al. Research on remote sensing image management based on computer technology[M]// Angrisani L, Arteaga M A, Panigrahi B K, et al. Lecture notes in electrical engineering. London, UK: Springer, 2013: 537-542.
[37]	曾毅. 无人机遥感影像数据库研究与实现[D]. 长沙: 中南大学, 2011.
	[ Zeng Yi. Research and implementation of UAV remote sensing image database. Changsha, China: Central South University, 2011. ]
[38]	Joseph T, Cardenas A F. PICQUERY: A high level query language for pictorial database management[J]. IEEE Transactions on Software Engineering, 1988, 14(5):630-638. doi: 10.1109/32.6140
[39]	Zhao F, Zhang J, Cao D. Dynamic web map service for web publishing system of mass remote sensing images[C]// 2006 IEEE International Symposium on Geoscience and Remote Sensing. Denver, USA: IEEE, 2006: 858-860.
[40]	Bandyophadyay M, Pratap Singh M, Singh V. Integrated visualization of distributed spatial databases an open source Web-GIS approach[C]// The 1st international conference on recent advances in information technology (RAIT), 2012. Dhanbad, India: IEEE, 2012: 619-621.
[41]	廖小罕, 许浩. 无人机运行监管技术发展与应用 [M]. 北京: 科学出版社, 2020: 95-109.
	[ Liao Xiaohan, Xu Hao. UAV operational regulation technology development and applications. Beijing, China: Science Press, 2020: 95-109. ]
[42]	任丽艳, 李英成, 肖金城, 等. 测绘无人机灾害现场多源数据集成与智能服务[J]. 测绘科学, 2020, 45(12):139-144.
	[ Ren Liyan, Li Yingcheng, Xiao Jincheng, et al. Multi-source data integration and intelligent service of surveying and mapping UAV for disaster scene. Science of Surveying and Mapping, 2020, 45(12):139-144. ]
[43]	Klinger Y, Etchebes M, Tapponnier P, et al. Characteristic slip for five great earthquakes along the Fuyun Fault in China[J]. Nature Geoscience, 2011, 4(6):389-392. doi: 10.1038/ngeo1158
[44]	Gomez C, Purdie H. UAV-based photogrammetry and geocomputing for hazards and disaster risk monitoring: A review[J]. Geoenvironmental Disasters, 2016, 3(1):23. doi: 10.1186/s40677-016-0060-y. doi: 10.1186/s40677-016-0060-y
[45]	李云, 徐伟, 吴玮. 灾害监测无人机技术应用与研究[J]. 灾害学, 2011, 26(1):138-143.
	[ Li Yun, Xu Wei, Wu Wei. Application research on aviation remote sensing UAV for disaster monitoring. Journal of Catastrophology, 2011, 26(1):138-143. ]
[46]	晏磊, 廖小罕, 周成虎, 等. 中国无人机遥感技术突破与产业发展综述[J]. 地球信息科学学报, 2019, 21(4):476-495. doi: 10.12082/dqxxkx.2019.180589
	[ Yan Lei, Liao Xiaohan, Zhou Chenghu, et al. The impact of UAV remote sensing technology on the industrial development of China: A review. Journal of Geo-information Science, 2019, 21(4):476-495. ]
[47]	Pineux N, Lisein J, Swerts G, et al. Can DEM time series produced by UAV be used to quantify diffuse erosion in an agricultural watershed?[J]. Geomorphology, 2017, 280:122-136. doi: 10.1016/j.geomorph.2016.12.003
[48]	Aasen H. State-of-the-art in UAV remote sensing survey: First insights into applications of UAV sensing systems[J]. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017, XLII-2/W6: 1-4. doi: 10.5194/isprs-archives-XLII-2-W6-1-2017. doi: 10.5194/isprs-archives-XLII-2-W6-1-2017
[49]	王枚梅, 林家元, 林沂, 等. 基于无人机可见光影像的亚高山针叶林树冠参数信息自动提取[J]. 林业资源管理, 2017(4):82-88.
	[ Wang Meimei, Lin Jiayuan, Lin Yi, et al. Subalpine coniferous forest crown information automatic extraction based on optical UAV remote sensing imagery. Forest Resources Management, 2017(4):82-88. ]
[50]	Wallace L, Lucieer A, Watson C, et al. Development of a UAV-LiDAR system with application to forest inventory[J]. Remote Sensing, 2012, 4(6):1519-1543. doi: 10.3390/rs4061519
[51]	Yu N, Li L J, Schmitz N, et al. Development of methods to improve soybean yield estimation and predict plant maturity with an unmanned aerial vehicle based platform[J]. Remote Sensing of Environment, 2016, 187:91-101. doi: 10.1016/j.rse.2016.10.005
[52]	Cao J J, Leng W C, Liu K, et al. Object-based mangrove species classification using unmanned aerial vehicle hyperspectral images and digital surface models[J]. Remote Sensing, 2018, 10(2):89. doi: 10.3390/rs10010089. doi: 10.3390/rs10010089
[53]	Ota T, Ogawa M, Shimizu K, et al. Aboveground biomass estimation using structure from motion approach with aerial photographs in a seasonal tropical forest[J]. Forests, 2015, 6(11):3882-3898. doi: 10.3390/f6113882
[54]	黄焕华, 马晓航, 黄华毅, 等. 利用固定翼无人机监测松材线虫病疫点枯死松树的初步研究[J]. 环境昆虫学报, 2018, 40(2):306-313.
	[ Huang Huanhua, Ma Xiaohang, Huang Huayi, et al. A preliminary study on monitoring of dead pine trees caused by pine wilt disease with fixed-wing unmanned aerial vehicle. Journal of Environmental Entomology, 2018, 40(2):306-313. ]
[55]	徐栋, 杨敏, 王新胜, 等. 无人机组网技术在海洋观测中的应用研究[J]. 海洋科学, 2018, 42(1):45-51.
	[ Xu Dong, Yang Min, Wang Xinsheng, et al. Study of networking and communication technologies of unmanned aerial vehicles and their application in oceanographic observation. Marine Sciences, 2018, 42(1):45-51. ]
[56]	Mohiuddin A, Taha T, Zweiri Y, et al. UAV payload transportation via RTDP based optimized velocity profiles[J]. Energies, 2019, 12(16):3049. doi: 10.3390/en12163049. doi: 10.3390/en12163049
[57]	郝晓平, 黄晓雯, 高志刚, 等. 无人机技术在油气管道巡护中的应用[J]. 油气储运, 2019, 38(8):955-960.
	[ Hao Xiaoping, Huang Xiaowen, Gao Zhigang, et al. Application of unmanned aerial vehicle technology in patrolling oil/gas pipelines. Oil & Gas Storage and Transportation, 2019, 38(8):955-960. ]
[58]	Yao Y, Quan Q L, Zhang H H, et al. Unmanned aerial patrol technology based on tracking algorithm of target tracking[J]. International Journal of Online Engineering, 2018, 14(11):160-175.
[59]	杨玉龙, 田瑞祥, 李海龙, 等. 基于无人机遥感系统在荒漠生态系统保护区巡护监测中的应用[J]. 甘肃科技, 2019, 35(23):52-54.
	[ Yang Yulong, Tian Ruixiang, Li Hailong, et al. Application of unmanned aerial vehicle remote sensing system in patrolling and monitoring of desert ecosystem protection areas. Gansu Science and Technology, 2019, 35(23):52-54. ]
[60]	Dulava S, Bean W T, Richmond O M W, Environmental reviews and case studies: Applications of unmanned aircraft systems (UAS) for waterbird surveys[J]. Environmental Practice, 2015, 17(3):201-210. doi: 10.1017/S1466046615000186
[61]	Gonzalez L F, Montes G A, Puig E, et al. Unmanned aerial vehicles (UAVs) and artificial intelligence revolutionizing wildlife monitoring and conservation[J]. Sensors, 2016, 16(1):97. doi: 10.3390/s16010097. doi: 10.3390/s16010097
[62]	Salaan C J O, Okada Y, Mizutani S, et al. Close visual bridge inspection using a UAV with a passive rotating spherical shell[J]. Journal of Field Robotics, 2018, 35(6):850-867. doi: 10.1002/rob.2018.35.issue-6
[63]	廖小罕, 周成虎, 苏奋振, 等. 无人机遥感众创时代[J]. 地球信息科学学报, 2016, 18(11):1439-1447. doi: 10.3724/SP.J.1047.2016.01439
	[ Liao Xiaohan, Zhou Chenghu, Su Fenzhen, et al. The mass innovation era of UAV remote sensing. Journal of Geo-information Science, 2016, 18(11):1439-1447. ]

序号	数据名称	单位或描述	数据处理
1	CPN	—	—
2	经度	°	精确到小数点后7位
3	纬度	°	精确到小数点后7位
4	高度	m	精确到小数点后2位
5	时间	s	精确到小数点后3位
6	地速	m/s	精确到小数点后1位
7	航向	°	精确到整数位
8	定位精度	m	精确到小数点后2位
9	有效数据长度	—	—
10	系统状态位	0表示无人机处于正常状态,异常置相应位	—
11	保留字节长度	描述保留字段的长度	—
12	保留字段	自行定义	—

元数据子集	编号	名称	描述	数据类型
元元数据	1	元数据名称	元数据的文件名	字符串
	2	创建时间	元数据文件的创建时间	日期型
	3	更新时间	元数据文件的更新时间	日期型
	4	访问方式	元数据文件的访问地址	字符串
地理空间信息元数据	5	影像投影	影像使用的地理坐标系和投影方法	字符串
	6	影像坐标	影像在工作区域中的相对坐标	浮点型
	7	影像范围	影像各方向顶点坐标的经纬度坐标	浮点型
飞行平台信息元数据	8	无人机编号	无人机在组网飞行中的编号	整型
	9	组网方式	无人机的组网飞行方式	字符串
	10	无人机型号	无人机的生产型号	字符串
	11	载荷名称	无人机搭载的载荷名称及型号	字符串
	12	载荷类型	无人机搭载的载荷类型	字符串
	13	载荷参数	载荷相关参数如焦距等	字符串
飞行状态信息元数据	14	飞行位置	无人机拍摄影像时的经纬度坐标	浮点型
	15	飞行高度	无人机拍摄影像时的飞行高度	浮点型
	16	飞行速度	无人机拍摄影像时的飞行速度	浮点型
	17	飞行姿态	无人机拍摄影像时的航向角、俯仰角、翻滚角	浮点型
影像数据内容和格式元数据	18	影像编号	影像在组网数据中的编号	整型
	19	拍摄时间	影像的拍摄时间	日期型
	20	影像波段	影像包含的波段名称	字符串
	21	像元行列数	影像像元的行数、列数	整型
	22	空间分辨率	影像最小像元的空间尺标	浮点型
	23	存储大小	影像占用存储单元的大小	浮点型
	24	影像重叠率	同一航向上两景影像的重叠率	浮点型
	25	存储格式	影像存储时的数据格式:tif、img等	字符串

A review on the architecture construction of remote sensing data from unmanned aerial vehicle networking

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[1]	LAI Zhi bin, XIA Shu dong, WANG Hu, CHENG Ji cheng. Research of Application Model Based on Management of Metadata and Dataset [J]. PROGRESS IN GEOGRAPHY, 2002, 21(4): 374-382.
[2]	LAI Zhi bin, XIA Shu dong, CHENG Ji cheng . Application Model Research of High Resolution Remote Sensing Data In Urban Environmental Evaluation [J]. PROGRESS IN GEOGRAPHY, 2000, 19(4): 359-365.
[3]	Li Jun, Zhou Chenghu . OVERVIEW ON METADATA STANDARDS OF GEO SPATIAL DATA [J]. PROGRESS IN GEOGRAPHY, 1998, 17(4): 57-65.