With the advancement of maritime unmanned aerial vehicles (UAVs) and deep learning
technologies, the application of UAV-based object detection has become increasingly …

The automatic identification system (AIS) and video cameras have been widely exploited for
vessel traffic surveillance in inland waterways. The AIS data could provide vessel identity …

Visual sensors are widely employed for real-time maritime surveillance. But they always
suffer from some low-visibility problems, typically low light and haze, which greatly reduce …

Deep learning object detection methods, like YOLOv5, are effective in identifying maritime
vessels but often lack detailed information important for practical applications. In this paper …

To ensure the safety of maritime traffic, it is crucial for cameras to capture a complete
appearance of moving vessels. However, in real marine environments, ships are often …

Accurate target identification of UAV (Unmanned Aerial Vehicle)-captured images is a
prerequisite for maritime rescue and maritime surveillance. However, UAV-captured images …

Traditional shore-based vision surveillance devices for wide waters can only track ships in a
small area because current vision surveillance devices for wide waters usually use fixed …

An automated vessel recognition system is a sophisticated technological solution for the
automatic detection, identification, and classification of vessels in a maritime environment …

To ensure the safety of maritime traffic, it is crucial for cameras to capture a complete
appearance of moving vessels. However, in real marine environments, ships are often …