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Automating the Classification of Roof Waterproofing Buildings Using Satellite Images
  • Ahn, Sangho ;
  • Kim, Sehyeong ;
  • Chae, Jungwoo ;
  • Park, Jaehyeong ;
  • Kang, Juyoung
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Publication Year
2021-01-01
Journal
International Conference on ICT Convergence
Publisher
IEEE Computer Society
Citation
International Conference on ICT Convergence, Vol.2021-October, pp.309-311
Keyword
computer visionobject detectionroof detectionsatelllte image processingYOLO
Mesh Keyword
ConditionGovernment projectsImages processingLocal governmentNational programmeRoof detectionSatellite imagesSatelllte image processingYOLO
All Science Classification Codes (ASJC)
Information SystemsComputer Networks and Communications
Abstract
Use satellite images to check the waterproofing status of buildings on the roof. or to classify buildings that require waterproofing based on applied paint conditions. Through this, the idea of automatically classifying buildings that need rooftop waterproofing work for a wide range of areas is presented, and furthermore, platform services that can be effectively used for local governments or national projects are proposed.
Language
eng
URI
https://aurora.ajou.ac.kr/handle/2018.oak/36702
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122911068&origin=inward
DOI
https://doi.org/10.1109/ictc52510.2021.9621168
Journal URL
http://ieeexplore.ieee.org/xpl/conferences.jsp
Type
Conference Paper
Funding
This research was supported by the Ministry of Science and ICT, Korea, under the Information Technology Research Center support program (IITP-2021-2018-0-01424).
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