In this paper, we present a ship detection pipeline for low-cost medium resolution satellite optical imagery obtained from ESA Sentinel-2 and Planet Labs Dove constellations. This optical satellite imagery is readily available for any place on Earth and underutilized in the maritime domain, compared to existing solutions based on synthetic-aperture radar (SAR) imagery. We developed a ship detection method based on a state-of-the-art deep-learning-based object detection method which was developed and evaluated on a large-scale dataset that was collected and automatically annotated with the help of Automatic Identification System (AIS) data.
@article{arxiv.2104.13923,
title = {Automated System for Ship Detection from Medium Resolution Satellite Optical Imagery},
author = {Dejan Stepec and Tomaz Martincic and Danijel Skocaj},
journal= {arXiv preprint arXiv:2104.13923},
year = {2021}
}