Maritime video surveillance has become an essential part of the vessel traffic services
system, intended to guarantee vessel traffic safety and security in maritime applications. To …

Convolutional neural networks (CNNs) have found applications in ship detection from
synthetic aperture radar (SAR) images. However, there are some challenges hamper their …

Remote sensing techniques for shoreline extraction are crucial for monitoring changes in
erosion rates, surface hydrology, and ecosystem structure. In recent years, Convolutional …

Accurate acquisition for the positions of the waterlines plays a critical role in coastline
extraction. However, waterline extraction from high-resolution images is a very challenging …

This study summarises the scenario of maritime traffic anomalies, like the increased
congestion and U-turn of ships caused by the ship grounding in the Suez Canal in March …

Speckle noise and the spatial resolution of the Sentinel− 1 Synthetic Aperture Radar (SAR)
image can cause significant difficulties in the detection of small objects, such as small ships …

针对多尺度, 多场景的合成孔径雷达(SAR) 图像船舶检测问题, 提出了一种基于EfficientDet
的无预训练目标检测器. 现有的基于卷积神经网络的SAR 图像船舶检测器并没有表现出其应有 …

In synthetic aperture radar (SAR) based ship detection application, false alarms frequently
occur due to various noises caused by the radar imaging process. Among them, radio …

Satellite remote sensing-based shoreline extraction can provide great supports for scientific
planning and utilization of coastal zones, marine ecological protection, and efficient …

In this work, a new concentric circles detection method for object detection is proposed. It
has been applied to the images of a commercial radar, captured with a Charge-Coupled …