@article{Wildfire2024,
  author = {Andrew Rittenbach and Connor Imes and John Paul Walters},
  booktitle = {Optica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP)},
  journal = {Optica Imaging Congress 2024 (3D, AOMS, COSI, ISA, pcAOP)},
  keywords = {Deep learning; Image processing; Machine vision; Real time imaging; Segmentation; Spatial resolution},
  pages = {FD1.7},
  publisher = {Optica Publishing Group},
  title = {Timely Wildfire Perimeter Mapping for Unmanned Aerial Platforms},
  year = {2024},
  url = {https://opg.optica.org/abstract.cfm?URI=ISA-2024-FD1.7},
  abstract = {Wildfire perimeter mapping currently relies on deferred processing of data from manned and orbital platforms using hand-tuned physics-based models. We demonstrate real-time on-board multispectral data processing on cost-efficient unmanned aerial platforms using ML-based semantic segmentation.},
  ISIArea = {ML, CAS}
}

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