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Review of the light-weighted and small UAV system for aerial photography and remote sensing

  • role： First author第一作者
  • Affiliation：

    School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

    National Quality Inspection and Testing Center for Surveying and Mapping Products, Beijing 100830, China

  • Email：zhangjx@casm.ac.cn
  • Introduction：张继贤，1965年生,男,研究员，研究方向为摄影测量与遥感、地理信息系统、资源与环境遥感监测。E-mail: zhangjx@casm.ac.cn
ZHANG Jixian12,  
  • Affiliation：

    School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China

LIU Fei1,  
  • Affiliation：

    School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing 100044, China

WANG Jian3

resumen

Geospatial information is important in the era of artificial intelligence and big data. Small, lightweight unmanned aerial vehicles (UAVs) for aerial photogrammetry and Remote Sensing (RS) technology, as the main means of obtaining centimeter-scale resolution and real-time remote sensing data, may be expected to play an important role in these fields.First, this paper focuses on the development status and trends of UAV aerial photogrammetry and RS systems. Fixed-wing, lightweight, and small UAVs are an early type of aircraft in the field of surveying and mapping. The hand-throwing and vertical take-off and landing characteristics of fixed-wing UAV systems have prompted the development of these technologies toward the intelligent direction. Multi-rotor UAVs are important instruments in remote sensing mapping, but their flight duration requires further improvement. Unmanned helicopters are widely used in the remote sensing mapping of heavy loads, but this technology is greatly affected by cost, control complexity, and other factors. Digital camera, video camera, tilt camera, lidar, SAR, POS, and other loads are highly useful in surveying and mapping; however, because the detection and calibration of new sensors and UAV systems has not been optimized, the development of new technologies and equipment is limited to a certain extent.Next, the problems and challenges of system detection, large-scale real-time remote sensing, and accurate big data interpretation of UAV aerial photogrammetry and RS data are summarized and analyzed. UAV aerial photogrammetry and RS systems are widely used, but the detection methods and standards of UAV systems aimed at environmental adaptability, flight performance, navigation control accuracy, and electromagnetic compatibility have not been perfected. The real-time multi-level transmission technology of video, imagery, and other surveying and mapping data must be further developed for emergency rescue. The data obtained each year by UAV aerial photogrammetry and RS are more than PB and mostly used to produce standard surveying and mapping products. However, the data collected are insufficient for data mining and analysis.Finally, facing the technical backgrounds of artificial intelligence, big data, Internet of things, and cloud computing, among others, future development directions of intelligent flight control, UAV operation, and real-time, real-scene UAV remote sensing technologies are provided. The continuous development and improvement of the industry and rapid promotion of market demands, aerial photogrammetry, and RS technology of lightweight and small UAVs may be expected to promote industrial changes in earth observation and accurate public perception, potentially forming a new industry worth over 100 billion US dollars.

palabra clave

light-weighted and small UAV for aerial photogrammetry and RS;aerial photogrammetry and RS sensors;artificial intelligence;big data

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