Automatic Detection of Dark Ship-to-Ship Transfers using Deep Learning and Satellite Imagery

arXiv:2404.07607v1 Announce Type: new
Abstract: 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 …

abstract arxiv convolutional neural network cs.cv deep learning detection gap identify importance network neural network practices research satellite sensing ship shipping studies train type via