Automatic Detection of Dark Ship-to-Ship Transfers using Deep Learning and Satellite Imagery
<|reference_start|>Automatic Detection of Dark Ship-to-Ship Transfers using Deep Learning and Satellite Imagery: Despite extensive research into ship detection via remote sensing, no studies identify ship-to-ship transfers in satellite imagery. Given the importance of transshipment in illicit shipping practices, this is a significant gap. In what follows, I train a convolutional neural network to accurately detect 4 different types of cargo vessel and two different types of Ship-to-Ship transfer in PlanetScope satellite imagery. I then elaborate a pipeline for the automatic detection of suspected illicit ship-to-ship transfers by cross-referencing satellite detections with vessel borne GPS data. Finally, I apply this method to the Kerch Strait between Ukraine and Russia to identify over 400 dark transshipment events since 2022.<|reference_end|>
@article{ballinger2024automatic,
    title={Automatic Detection of Dark Ship-to-Ship Transfers using Deep Learning
  and Satellite Imagery},
    author={Ollie Ballinger},
    journal={arXiv preprint arXiv:2404.07607},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.07607},
    primaryClass={cs.CV}
}