Research on the Processing Technology of Low-altitude Unmanned Aerial Vehicle Images

被引：0
|
作者：
Tang Shihua [1 ,2 ]
Liu Yintao [1 ,2 ]
Li Feida [1 ,2 ]
Zhou Conglin [1 ,2 ]
Huang Qing [1 ,2 ]
Xu Hongwei [1 ,2 ]
机构：
[1] Guilin Univ Technol, Coll Geomat Engn & Geoinformat, Guilin 541004, Guangxi, Peoples R China
[2] Guangxi Key Lab Spatial Informat & Geomat, Guilin 541004, Guangxi, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON INTELLIGENT EARTH OBSERVING AND APPLICATIONS 2015 | 2015年 / 9808卷
关键词：
Unmanned Aerial Vehicle; UASMaster; digital orthophoto map; precision analysis;
D O I：
10.1117/12.2207583
中图分类号：
TP7 [遥感技术];
学科分类号：
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要：
The UAV system acts as one of the infrastructure of earth observation, with its mobility, high speed, flexibility, economy and other remarkable technical advantages, has been widely used in various fields of the national economic construction, such as agricultural monitoring, resource development, disaster emergency treatment. Taking an actual engineering as a case study in this paper, the method and the skill of making digital orthophoto map was stated by using the UASMaster, the professional UAV data processing software, based on the eBee unmanned aerial vehicle. Finally, the precision of the DOM was analyzed in detail through two methods, overlapping the DOM with the existing DLG of the region and contrasting the points of the existing DLG of 1: 1000 scale with the corresponding checkpoints of the stereomodel.
引用
收藏
页数：7
相关论文
共 50 条
  • [41] A fuel cell powered unmanned aerial vehicle for low altitude surveillance missions
    Lapena-Rey, N.
    Blanco, J. A.
    Ferreyra, E.
    Lemus, J. L.
    Pereira, S.
    Serrot, E.
    [J]. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (10) : 6926 - 6940
  • [42] Digital topographic mapping and modelling using low altitude unmanned aerial vehicle
    Bariledum D. Nwilag
    Aniekan E. Eyoh
    Christopher E. Ndehedehe
    [J]. Modeling Earth Systems and Environment, 2023, 9 : 1463 - 1476
  • [43] Digital topographic mapping and modelling using low altitude unmanned aerial vehicle
    Nwilag, Bariledum D.
    Eyoh, Aniekan E.
    Ndehedehe, Christopher E.
    [J]. MODELING EARTH SYSTEMS AND ENVIRONMENT, 2023, 9 (02) : 1463 - 1476
  • [44] Low Altitude 3 Dimensional Surface Mapping use for Unmanned Aerial Vehicle
    Misnan, Mohamad Farid
    Arshad, Nor Hashim Mohd
    Shauri, Ruhizan Liza Ahmad
    Abd Razak, Noorfadzli
    Thamrin, Norashikin Mohd
    Mahmud, Siti Fatimah
    [J]. 2012 IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM, COMPUTING AND ENGINEERING (ICCSCE 2012), 2012, : 446 - 451
  • [45] Deep learning based high performance classification architecture for low-altitude aerial images
    Mittal, Payal
    Sharma, Akashdeep
    Singh, Raman
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (06) : 16849 - 16868
  • [46] Deep learning based high performance classification architecture for low-altitude aerial images
    Payal Mittal
    Akashdeep Sharma
    Raman Singh
    [J]. Multimedia Tools and Applications, 2024, 83 : 16849 - 16868
  • [47] Research progress of vision based aerospace conflict sensing technologies for small unmanned aerial vehicle in low altitude
    Zhang Z.
    Cao Y.
    Fan Y.
    [J]. Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2022, 43 (08):
  • [48] Detection and Tracking of Low-Altitude Unmanned Aerial Vehicles Based on Optimized YOLOv4 Algorithm
    Zhao Yuemeng
    Liu Huigang
    [J]. LASER & OPTOELECTRONICS PROGRESS, 2022, 59 (12)
  • [49] Research on Digital Remote Control Technology of Surveying and Unmanned Aerial Vehicle
    Zhang, Na
    [J]. PROCEEDINGS OF THE 2017 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTER (MACMC 2017), 2017, 150 : 141 - 144
  • [50] Research on Unmanned Aerial Vehicle Swarm Resilience Assessment and Reconfiguration Technology
    Wei, Chenyue
    He, Ming
    Han, Wei
    Xu, Xin
    Gao, Hong
    [J]. Computer Engineering and Applications, 2024, 60 (15) : 1 - 10
12345