Ship detection in Synthetic Aperture Radar (SAR) images is a fundamental but challenging
task. Nowadays, given that the huge imbalance between sparse-distribution ships and …

Ship detection in Synthetic aperture radar (SAR) images is an important and challenging
task. A number of deep learning-based methods have been proposed for the SAR ship …

Deep learning-based methods have achieved great success in target detection tasks of
computer vision, but when it comes to Synthetic Aperture Radar (SAR) image ship detection …

Synthetic aperture radar (SAR) ship detection has been the focus of many previous studies.
Traditional SAR ship detectors face challenges in complex environments due to the …

Recently, in the field of synthetic aperture radar (SAR) ship detection, deep-learning-based
methods have made significant strides in terms of detection accuracy and speed. However …

In light of recent advances in deep learning and Synthetic Aperture Radar (SAR) technology,
there has been a growing adoption of ship detection models that are based on deep …

The ship target detection technology in synthetic aperture radar (SAR) imaging plays an
important role in information warfare. However, due to the coherence of the system and the …

Deep learning-based ship-detection methods have recently achieved impressive results in
the synthetic aperture radar (SAR) community. However, numerous challenging issues …

Thanks to the excellent feature representation capabilities of neural networks, target
detection methods based on deep learning are now widely applied in synthetic aperture …

Ship targets are important carriers of maritime behavior, and ship target detection has
important economic and military value. Owing to its excellent characteristics, synthetic …