地理科学进展 ›› 2021, Vol. 40 ›› Issue (9): 1550-1569.doi: 10.18306/dlkxjz.2021.09.010

• 无人机行业应用 • 上一篇    下一篇

轻小型无人机遥感及其行业应用进展

郭庆华1,2(), 胡天宇3,4, 刘瑾3,4, 金时超5, 肖青2,4,6, 杨贵军7, 高显连8, 许强9, 谢品华10,11,12, 彭炽刚13, 闫利14   

  1. 1.北京大学城市与环境学院,北京 100871
    2.中国科学院无人机应用与管控研究中心,北京 100101
    3.中国科学院植物研究所,北京 100093
    4.中国科学院大学,北京 100049
    5.南京农业大学前沿交叉研究院/作物表型组学交叉研究中心,南京 210095
    6.中国科学院空天信息创新研究院,北京 100094
    7.北京农业信息技术研究中心农业部农业遥感机理与定量遥感重点实验室,北京 100097
    8.国家林业和草原局调查规划设计院,北京 100714
    9.成都理工大学地质灾害防治与地质环境保护国家重点实验室,成都 610059
    10.中国科学院安徽光学精密机械研究所环境光学与技术重点实验室,合肥 230031
    11.中国科学技术大学,合肥 230026
    12.中国科学院区域大气环境研究卓越创新中心,福建 厦门 361021
    13.广东电网有限责任公司机巡作业中心,广州 510600
    14.武汉大学测绘学院,武汉 430079
  • 收稿日期:2021-01-14 修回日期:2021-06-30 出版日期:2021-09-28 发布日期:2021-09-28
  • 作者简介:郭庆华(1973— ),男,广东潮阳人,教授,主要从事激光雷达生态遥感研究。E-mail: guo.qinghua@pku.edu.cn
  • 基金资助:
    国家重点研发计划项目(2016YFC0500202);国家重点研发计划项目(2017YFC0503905);国家自然科学基金项目(31971575);国家自然科学基金项目(41771388);内蒙古自治区科技计划项目(2019GG009)

Advances in light weight unmanned aerial vehicle remote sensing and major industrial applications

GUO Qinghua1,2(), HU Tianyu3,4, LIU Jin3,4, JIN Shichao5, XIAO Qing2,4,6, YANG Guijun7, GAO Xianlian8, XU Qiang9, XIE Pinhua10,11,12, PENG Chigang13, YAN Li14   

  1. 1. College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
    2. Research Center for UAV Application and Control, CAS, Beijing 100101, China
    3. Institute of Botany, CAS, Beijing 100093, China
    4. University of Chinese Academy of Sciences, Beijing 100049, China
    5. Plant Phenomics Research Centre, Nanjing Agricultural University, Nanjing 210095, China
    6. Aerospace Information Research Institute, CAS, Beijing 100094, China
    7. Beijing Research Center for Information Technology in Agriculture / Key Laboratory of Quantitative Remote Sensing in Agriculture of Ministry of Agriculture, Beijing 100097, China
    8. Investigation Planning and Design Institute of State Forestry and Grassland Administration, Beijing 100714, China
    9. State Key Laboratory of Geohazards Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China
    10. Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China
    11. University of Science and Technology of China, Hefei 230026, China
    12. CAS Center for Excellence in Regional Atmospheric Environment, Xiamen 361021, Fujian, China
    13. Patrol Operation Center of Guangdong Power Grid Co Ltd, Guangzhou 510600, China
    14. School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
  • Received:2021-01-14 Revised:2021-06-30 Online:2021-09-28 Published:2021-09-28
  • Supported by:
    National Key Research and Development Program of China(2016YFC0500202);National Key Research and Development Program of China(2017YFC0503905);National Natural Science Foundation of China(31971575);National Natural Science Foundation of China(41771388);The Inner Mongolia Science and Technology Plan(2019GG009)

摘要:

无人机是低空领域准确、灵活、高效获取多种类型高分辨率遥感数据的重要载体,无人机遥感技术在行业应用创新和管理部门科学决策之间构筑起信息沟通的关键桥梁。随着科技的进步、大数据时代的来临,无人机遥感系统的硬件设备、信息提取方法都取得了飞速的发展;同时其在国民经济主要行业领域的应用也面临着前所未有的机遇和挑战。论文首先介绍了无人机遥感系统的硬件研发进展,并指出轻小型、高精度、标准化与集成化是未来无人机遥感系统发展的总体趋势。其次,详细介绍了目前轻小型无人机遥感应用在农业、林草业、电力、测绘、大气探测和地质灾害等行业的应用现状,指出实现无人机多源遥感数据获取、融合、分析和提取的综合平台是未来轻小型无人机在民用领域行业应用创新的关键所在。最后,针对载荷与飞行平台的一体化集成应用、无人机组网作业、海量数据管理和信息自动化提取等发展趋势提出了几点思考。轻小型无人机遥感在国民经济各行业应用的普及化和标准化,将有助于国家和区域社会经济的健康发展。

关键词: 数据融合, 多传感器集成, 智能化飞行, 无人机组网, 深度学习

Abstract:

Unmanned aerial vehicle (UAV) is a flexible and efficient platform to accurately obtain high-resolution and multi-source remote sensing data in low altitude airspace. It can provide important information for industrial applications and management decisions. With the arrival of the big-data era, both the hardware and software for acquiring and processing UAV remote sensing data stepped into a fast lane. The enormous amount of data has brought unprecedented opportunities and challenges for UAV remote sensing and industrial applications. In this article, we introduced the history and advances in UAV remote sensing hardware development. The UAVs mounted with lightweight, high-precision, standardized, and integrated sensors would be the future direction of UAV remote sensing hardware development. Then, we summarized the current status of applications in agriculture, forestry and prataculture, surveying, geological hazard monitoring and disaster management, electricity sector, and atmospheric monitoring using UAV remote sensing. The integrated UAV remote sensing platforms equipped with multi-sensors are one of the keys for such applications. Finally, we discussed the intelligent UAV hardware, network operation potential, massive data processing capability, automatic information extraction technique, and future directions in UAV remote sensing. The popularization and standardization of UAV remote sensing application in various industries will largely improve and accelerate national and regional social and economic development.

Key words: data fusion, multi-sensor integration, intelligent self-flying, UAV network, deep learning