Robust and versatile detection of maritime vessels present in aerial images is a considerable challenge. While neural networks, particularly convolutional neural networks (CNNs), have revolutionized object detection and classification across many industries by enabling machines to learn complex patterns and features from large datasets, maritime vessel detection continues to pose challenges. One challenge is the limited quanti...

Accurate and automated detection of maritime vessels present in aerial images is a considerable challenge. While significant progress has been made in recent years by adopting neural network architectures in detection and classification systems, these systems are usually designed specific to a sensor, dataset or location. In this paper, we present a system which uses multiple sensors and a convolutional neural network (CNN) ar...