A Lightweight Transfer Learning-Based Model for Building Classification in Aerial Imagery

Jacob Herman*, Rami Zewail, Tetsuji Ogawa, Samir Elsagheer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Over the past decade, there has been a growing interest in the potential of artificial intelligence and computerr vision in tackling challenges related to disaster resilience in urban communities. Unmanned aerial imagery has been the focal of a number of initiatives targeting urban planning and aftermath disaster assessment. Within this context, this presents a novel lightweight transfer learning-based model for assessment of building conditions from aerial images. The proposed method is suitable for EDGE-based operations in resource-limited settings. Experiments were conducted to identify post-flooding building conditions in Zanzibar city in Tanzania. Considerable gains in terms of memory and computation time have been achieved while maintaining accuracies that are in line with state-of-Art approaches.

Original languageEnglish
Title of host publication2023 15th International Conference on Computer Research and Development, ICCRD 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages181-186
Number of pages6
ISBN (Electronic)9781665487504
DOIs
Publication statusPublished - 2023
Event15th International Conference on Computer Research and Development, ICCRD 2023 - Virtual, Online, China
Duration: 2023 Jan 102023 Jan 12

Publication series

Name2023 15th International Conference on Computer Research and Development, ICCRD 2023

Conference

Conference15th International Conference on Computer Research and Development, ICCRD 2023
Country/TerritoryChina
CityVirtual, Online
Period23/1/1023/1/12

Keywords

  • building classification
  • transfer learning

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computational Mathematics
  • Control and Optimization
  • Modelling and Simulation

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