MAPPING OF SURFACE OBJECTS AND PHENOMENA USING UNMANNED AERIAL VEHICLE FOR THE PURPOSES OF CRISIS

被引:0
|
作者
Blistanova, Monika [1 ]
Blistan, Peter [2 ]
Blazek, Josef [1 ]
机构
[1] Univ Secur Management Kosice, Kosice, Slovakia
[2] Tech Univ Kosice, Kosice, Slovakia
关键词
Crises Management; Unmanned Aerial Vehicle; GNSS; Photogrammetry; Digital Terrain Model;
D O I
暂无
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Unmanned Aerial Vehicle is a modern technology, which began to use for mapping the surface of objects. They also serve as carriers of various sensing devices, the most common equipment is cameras and camcorders. The trend in this area is equipped with a navigation technologies - Global Navigation Satellite System (GNSS) and inertial measurement system, which serve to orientation in space. Based on these, the drones become almost independent of the ground control station and drawn images at predetermined positions. It is for these reasons, the UAV began to use as an effective tool for mapping objects and phenomena for the purposes of crisis management. This contribution will be given to mapping of the surface objects and photogrammetric data collection. Aerial Photogrammetry is a surveying method designed to collect data using photographic equipment (camera) to make the data thus obtained, orthophotos, topographic maps or 3D terrain models. These outputs are then used as the underlying digital data in crisis management.
引用
收藏
页码:491 / 499
页数:9
相关论文
共 50 条
  • [31] Application of Unmanned Aerial Vehicle for Mapping and Modeling of Indian Mines
    J. Leo Stalin
    R. C. P. Gnanaprakasam
    Journal of the Indian Society of Remote Sensing, 2020, 48 : 841 - 852
  • [32] THE GENERATION OF BUILDING FLOOR PLANS USING PORTABLE AND UNMANNED AERIAL VEHICLE MAPPING SYSTEMS
    Tsai, G. J.
    Chen, Y. L.
    Chiang, K. W.
    Lai, Y. C.
    XXIII ISPRS CONGRESS, COMMISSION IV, 2016, 41 (B4): : 331 - 337
  • [33] Capturing the Diurnal Cycle of Land Surface Temperature Using an Unmanned Aerial Vehicle
    Malbeteau, Yoann
    Parkes, Stephen
    Aragon, Bruno
    Rosas, Jorge
    McCabe, Matthew E.
    REMOTE SENSING, 2018, 10 (09)
  • [34] Feature Extraction using Unmanned Aerial Vehicle
    Ajith, G.
    Kumar, Naveen T. S.
    Bharadwaj, Narasimha C.
    Nag, Sriharsha T. S.
    Gururaj, C.
    2017 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, COMMUNICATION, COMPUTER, AND OPTIMIZATION TECHNIQUES (ICEECCOT), 2017, : 459 - 464
  • [35] Radiation surveillance using an unmanned aerial vehicle
    Pollanen, Roy
    Toivonen, Harri
    Perajarvi, Kari
    Karhunen, Tero
    Flander, Tarja
    Lehtinen, Jukka
    Rintala, Kimmo
    Katajainen, Tuure
    Niemela, Jarkko
    Juusela, Marko
    APPLIED RADIATION AND ISOTOPES, 2009, 67 (02) : 340 - 344
  • [36] Future of agriculture using unmanned aerial vehicle
    Hasegawa K.
    Journal of the Institute of Image Electronics Engineers of Japan, 2016, 45 (04) : 504 - 507
  • [37] Application of Pesticide Using Unmanned Aerial Vehicle
    Ay, Fahrettin
    Ince, Gokhan
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 1268 - 1271
  • [38] Visual Tracking of Objects for Unmanned Surface Vehicle Navigation
    Chae, Kyung Hwa
    Moon, Yong Seon
    Ko, Nak Yong
    2016 16TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2016, : 335 - 337
  • [39] Sub-metre mapping of surface soil moisture in proglacial valleys of the tropical Andes using a multispectral unmanned aerial vehicle
    Wigmore, Oliver
    Mark, Bryan
    McKenzie, Jeffrey
    Baraer, Michel
    Lautz, Laura
    REMOTE SENSING OF ENVIRONMENT, 2019, 222 : 104 - 118
  • [40] Using a low-cost unmanned aerial vehicle for mapping giant smutgrass in bahiagrass pastures
    Gal Rozenberg
    José Luiz C. S. Dias
    Wesley M. Anderson
    Brent A. Sellers
    Raoul K. Boughton
    Matheus B. Piccolo
    Lior Blank
    Precision Agriculture, 2023, 24 : 971 - 985