This paper provides an overview of existing literature on vessel/ship detection and
classification from optical satellite imagery. Although SAR (Synthetic Aperture Radar) is still …

Considering the important applications in the military and the civilian domain, ship detection
and classification based on optical remote sensing images raise considerable attention in …

Object detection in optical remote-sensing images is an important and challenging task. In
recent years, the methods based on convolutional neural networks (CNNs) have made good …

Offshore and inland river ship detection has been studied on both synthetic aperture radar
(SAR) and optical remote sensing imagery. However, the classic ship detection methods …

Ship detection is a challenging problem in complex optical remote-sensing images. In this
letter, an effective ship detection framework in remote-sensing images based on the …

The rapid detection of ships within the wide sea area is essential for intelligence acquisition.
Most modern deep learning-based ship detection methods focus on locating ships in high …

Sea-land segmentation and ship detection are two prevalent research domains for optical
remote sensing harbor images and can find many applications in harbor supervision and …

Currently, reliable and accurate ship detection in optical remote sensing images is still
challenging. Even the state-of-the-art convolutional neural network (CNN)-based methods …

Rapid and accurate detection of maritime military targets is of great significance for
maintaining national defense security. Few studies have used high-resolution optical …

Intelligent detection and recognition of ships from high-resolution remote sensing images is
an extraordinarily useful task in civil and military reconnaissance. It is difficult to detect ships …