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 …

Recently, convolutional neural network based methods have been studied for ship detection
in optical remote sensing images. However, it is challenging to apply them to microwave …

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 …

In recent years, with the improvement of synthetic aperture radar (SAR) imaging resolution, it
is urgent to develop methods with higher accuracy and faster speed for ship detection in …

Convolution neural network (CNN)-based detectors have shown great performance on ship
detections of synthetic aperture radar (SAR) images. However, the performance of current …

It is very difficult to detect multi-scale synthetic aperture radar (SAR) ships, especially under
complex backgrounds. Traditional constant false alarm rate methods are cumbersome in …

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 …

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 …

With the rapid development of synthetic aperture radar (SAR) technology, SAR image ship
detection plays a crucial role in fields such as marine environment monitoring and maritime …

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 …