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DATA MANAGEMENT FRAMEWORK OF DRONE-BASED 3D MODEL RECONSTRUCTION OF DISASTER SITE
Author(s) -
C. Kim,
H. Moon,
W. Lee
Publication year - 2016
Publication title -
the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 71
eISSN - 1682-1777
pISSN - 1682-1750
DOI - 10.5194/isprsarchives-xli-b4-31-2016
Subject(s) - drone , damages , disaster area , emergency management , terrain , computer science , visualization , process (computing) , plan (archaeology) , function (biology) , task (project management) , computer security , construction engineering , engineering , geography , systems engineering , artificial intelligence , cartography , genetics , archaeology , evolutionary biology , meteorology , political science , law , biology , operating system
To rescue peoples in the disaster site in time, information acquisition of current feature of collapsed buildings and terrain is quite important for disaster site rescue manager. Based on information about disaster site, they can accurately plan the rescue process and remove collapsed buildings or other facilities. However, due to the harsh condition of disaster areas, rapid and accurate acquisition of disaster site information is not an easy task. There are possibilities of further damages in the collapse and there are also difficulties in acquiring information about current disaster situation due to large disaster site and limited rescue resources. To overcome these circumstances of disaster sites, an unmanned aerial vehicle, commonly known as a drone is used to rapidly and effectively acquire current image data of the large disaster areas. Then, the procedure of drone-based 3D model reconstruction visualization function of developed system is presented.

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