With the development of satellite technology, up to date imaging mode of synthetic aperture
radar (SAR) satellite can provide higher resolution SAR imageries, which benefits ship …

Ship detection in high-resolution synthetic aperture radar (SAR) imagery is a challenging
problem in the case of complex environments, especially inshore and offshore scenes …

Sonar image object detection is essential in underwater rescue and resource exploration.
Although many convolution neural network (CNN)-based object detection algorithms have …

Automatic ship detection in high-resolution remote sensing images has attracted increasing
research interest due to its numerous practical applications. However, there still exist …

Ships comprise the only and most important ocean transportation mode. Thus, ship
detection is one of the most critical technologies in ship monitoring, which plays an essential …

Recently, low-altitude remote sensing platforms are widely used for various practical
applications. Object detection is a basic and significant technology, serving them. The scale …

Automatically detecting dangerous concealed objects in the millimeter-wave images is
important for imaging-aided security systems. In this paper, we proposed a normalized …

Stable and efficient ground moving target tracking and refocusing is a hard task in synthetic
aperture radar (SAR) data processing. Since shadows in video-SAR indicate the actual …

As the optical remote sensing techniques keep developing with a rapid pace, remote
sensing images are positively considered in many fields. Accordingly, a great number of …

The success of deep learning in synthetic aperture radar (SAR) automatic target recognition
(ATR) relies on a large number of labeled samples; however, there are often wrong (noisy) …