Ship detection in synthetic aperture radar (SAR) images is becoming a research hotspot. In
recent years, as the rise of artificial intelligence, deep learning has almost dominated SAR …

In the context of ship monitoring in the ocean, targets are usually sparsely distributed. Thus,
synthetic aperture radar (SAR) imaging of the whole scene is usually quite redundant and …

Conventional ship detection using synthetic aperture radar (SAR) is typically limited to fully-
focused SAR images, limiting the development of real-time SAR ship detection. Ship …

The utilization of Synthetic Aperture Radar (SAR) for real-time ship detection proves highly
advantageous in the supervision and monitoring of maritime activities. Ship detection in the …

Near real-time ship monitoring is crucial for ensuring safety and security at sea. Established
ship monitoring systems are the automatic identification system (AIS) and marine radars …

In this paper, we discuss the usage of deep Convolutional Autoencoders (CAE) for
denoising Range-Doppler (RD) maps of an FMCW radar in a near-field situation with …

Synthetic Aperture Radar (SAR) is an established remote sensing technique that can
robustly provide high-resolution imagery of the Earth's surface. However, current space …

Ship detection in synthetic aperture radar (SAR) images using a convolutional neural
network (CNN) has become a hotspot. However, dense multisize ship targets in inshore …

The performance tradeoffs of a smallsat synthetic aperture radar (SAR) system for maritime
surveillance in the coastal waters of New Zealand are investigated. The lower costs of …

Ship tracking facilitates a comprehensive insight into maritime traffic situations and ensures
its safety and security. However, with the current operational surveillance systems, detecting …