Corpus ID: 215754554

Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence

@article{Imran2020RapidDA,
  title={Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence},
  author={Muhammad Imran and Firoj Alam and Umair Qazi and Steve Peterson and Ferda Ofli},
  journal={ArXiv},
  year={2020},
  volume={abs/2004.06675}
}
  • Muhammad Imran, Firoj Alam, +2 authors Ferda Ofli
  • Published 2020
  • Computer Science
  • ArXiv
  • Rapid damage assessment is one of the core tasks that response organizations perform at the onset of a disaster to understand the scale of damage to infrastructures such as roads, bridges, and buildings. This work analyzes the usefulness of social media imagery content to perform rapid damage assessment during a real-world disaster. An automatic image processing system, which was activated in collaboration with a volunteer response organization, processed ~280K images to understand the extent… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 27 REFERENCES