Due to the capacity of full-time and full-weather working, synthetic aperture radar (SAR)
images have been frequently applied to ship detection. However, the interference of speckle …

Synthetic aperture radar (SAR) image ship detection has important applications in marine
surveillance. There are two limitations when applying advanced detection methods naively …

ABSTRACT Synthetic Aperture Radar (SAR) Ship Detection (SSD) is an important
application, and it has been widely used in commercial and military fields. With the …

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 …

With the booming of Convolutional Neural Networks (CNNs), CNNs such as VGG-16 and
ResNet-50 widely serve as backbone in SAR ship detection. However, CNN based …

Synthetic aperture radar (SAR) is an active remote sensing system that possesses
characteristics such as all-weather capability and strong penetrability. In ship detection, SAR …

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

Synthetic aperture radar (SAR) image ship detection is a popular area of ocean remote
sensing, which has broad application prospects in ocean monitoring, maritime rescue, and …

Due to the rapid development of chip technology and deep learning revolution, many ship
detection frameworks for synthetic aperture radar (SAR) imagery based on convolutional …

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 …