Received: 30 October 2018 / Revised: 10 March 2019 / Accepted: 11 March 2019 / Published: 15 March 2019
In order to monitor and manage vessels in channels effectively, identification and tracking are very necessary.
This work developed a maritime unmanned aerial vehicle (Mar-UAV) system equipped with a high-resolution camera and an Automatic Identification System (AIS).
A multi-feature and multi-level matching algorithm using the spatiotemporal characteristics of aerial images and AIS information was proposed to detect and identify field vessels.
Continue reading A Multi-Feature and Multi-Level Matching Algorithm Using Aerial Image and AIS for Vessel Identification