PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts

Tomaz Logar, Joseph Bullock, Edoardo Nemni, Lars Bromley, John A. Quinn, Miguel A. Luengo-Oroz

AAAI 2020 pp. 13628-13629

doi:10.1609/AAAI.V34I09.7101 /aaai/2020/logar2020aaai-pulsesatellite/

Abstract

Humanitarian response to natural disasters and conflicts can be assisted by satellite image analysis. In a humanitarian context, very specific satellite image analysis tasks must be done accurately and in a timely manner to provide operational support. We present PulseSatellite, a collaborative satellite image analysis tool which leverages neural network models that can be retrained on-the fly and adapted to specific humanitarian contexts and geographies. We present two case studies, in mapping shelters and floods respectively, that illustrate the capabilities of PulseSatellite.

PDF AAAI Semantic Scholar

Cite

Text

Logar et al. "PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts." AAAI Conference on Artificial Intelligence, 2020. doi:10.1609/AAAI.V34I09.7101

Markdown

[Logar et al. "PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts." AAAI Conference on Artificial Intelligence, 2020.](https://mlanthology.org/aaai/2020/logar2020aaai-pulsesatellite/) doi:10.1609/AAAI.V34I09.7101

BibTeX

@inproceedings{logar2020aaai-pulsesatellite,
  title     = {{PulseSatellite: A Tool Using Human-AI Feedback Loops for Satellite Image Analysis in Humanitarian Contexts}},
  author    = {Logar, Tomaz and Bullock, Joseph and Nemni, Edoardo and Bromley, Lars and Quinn, John A. and Luengo-Oroz, Miguel A.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2020},
  pages     = {13628-13629},
  doi       = {10.1609/AAAI.V34I09.7101},
  url       = {https://mlanthology.org/aaai/2020/logar2020aaai-pulsesatellite/}
}