The annotations used during the training process are crucial for the inference results of
remote sensing images (RSIs) based on a deep learning framework. Unlabeled RSIs can be …

Sea-surface object detection is critical for navigation safety of autonomous ships. Electro-
optical (EO) sensors, such as video cameras, complement radar on board in detecting small …

Semantic segmentation, a fundamental research direction in synthetic aperture radar (SAR)
image interpretation, has significant application value for multiple sectors. However, noise …

Accurate identification and segmentation of moving ships to ensure maritime traffic safety
has become an important task in maritime intelligent transportation system. With the …

Machine learning and computer vision algorithms can provide a precise and automated
interpretation of medical videos. The segmentation of the left ventricle of echocardiography …

Bistatic forward-looking synthetic aperture radar (BFSAR) can create a highly focused image
of a target in the flight direction of the receiver. However, most research on BFSAR imaging …

As high-frame-rate synthetic aperture radar (SAR) has the ability to form continuous SAR
images and dynamically monitor the ground areas of interest, it has attracted more and more …

Synthetic Aperture Radar (SAR) is renowned for its all-weather capabilities, exceptional
penetration, and high-resolution imaging, making SAR-based ship detection crucial for …

In the task of synthetic aperture radar (SAR) ship detection, ship targets exhibit arbitrary
orientations and are closely aligned. In recent years, oriented bounding box (OBB)-based …

Radar sounders are air and space-borne nadir-looking sensors operating in high-frequency
(HF) or very high-frequency (VHF) bands and collect subsurface backscattered returns by …