Deep learning methods have greatly promoted the ship detection performance in synthetic
aperture radar (SAR) images. However, due to the different imaging mechanisms and target …

Recently, deep learning methods have been applied to detect ships in synthetic aperture
radar (SAR) images. However, detecting ships in SAR images with low resolution and …

As an important remote sensing means, synthetic aperture radar (SAR) has many
superiorities to other sensors. How to effectively detect and locate ships in SAR images is …

Convolutional neural networks (CNNs) have significantly advanced in recent years in
detecting arbitrary-oriented ships in synthetic aperture radar (SAR) images. However …

Recently, deep learning methods have been successfully applied to the ship detection in
synthetic aperture radar (SAR) images. It is still a great challenge to detect SAR ships, due to …

Ship detection in synthetic aperture radar (SAR) images is crucial for various applications in
both civilian and military domains. In recent years, there has been substantial progress in …

Deep learning-based rotated ship detection algorithms in Synthetic Aperture Radar images
suffer from low detection accuracy and converge speed due to the boundary discontinuity …

Lightweight ship detection is an important application of synthetic aperture radar (SAR). The
prevailing trend in recent research involves employing a detection framework based on …

Recently, deep learning techniques have been successfully applied to SAR ship detection.
However, SAR ship detection is still a challenging task. First, ship targets in SAR images are …

Recently, methods based on deep learning have been successfully applied to ship detection
for synthetic aperture radar (SAR) images. However, most current ship detection networks …