Ship detection and classification pose significant challenges in remote sensing. The potent
feature extraction capabilities of deep learning algorithms render them pivotal for these …

Remote sensing scene understanding is a highly challenging task, and has gradually
emerged as a research hotspot in the field of intelligent interpretation of remote sensing …

Satellite remote sensing technology can achieve real-time observation of ships at sea, and
the remote sensing images obtained have the advantages of high contrast and low noise …

Synthetic aperture radar (SAR) ship detection is an important technology supporting water
traffic monitoring and marine safety maintenance. In recent years, many methods based on …

With the rapid development of deep learning technology, many synthetic aperture radar
(SAR) target recognition algorithms based on convolutional neural networks have achieved …

SAR images play a crucial role in ship detection across diverse scenarios due to their all-
day, all-weather characteristics. However, detecting SAR ship targets poses inherent …

The detection of ships encompasses an abundance of applications within the domains of
fishery management, marine rescue operations, and maritime monitoring. In recent years, a …

Ship detection in marine remote sensing images (RSI) is an area of growing interest with a
wide range of potential applications. However, current ship detection methods often suffer …

The poor quality or the miss of Automatic Identification System (AIS) data may cause
erroneous judgement of the potential navigational risk. Therefore, this study proposes a real …

In the infrared small target images with complex backgrounds, there exist various
interferences that share similar characteristics with the target (such as building edges). The …