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 …

Optical remote sensing object detection is a challenging task, because of the complex
background interference, ambiguous appearances of tiny objects, densely arranged …

The YOLO network has been extensively employed in the field of ship detection in optical
images. However, the YOLO model rarely considers the global and local relationships in the …

With the continuous advancement of remote sensing (RS) technology, RS ship detection
plays a crucial role in ensuring maritime safety and the oceanic economy, but it also faces …

利用大规模, 高分辨率可见光遥感图像探测舰船目标一直是遥感领域的研究热点,
其在军事和民用领域发挥着重要作用. 舰船目标背景的复杂多变性, 舰船目标的多尺度, 多种类 …

In recent years, concern has increased about the depletion of marine resources caused by
the overexploitation of fisheries and the degradation of ecosystems. The Automatic …

摘要 Vessel detection has always been a popular research topic in fields such as remote
sensing image processing, pattern recognition, and computer vision. As vessels are …

Automatic ship detection by Unmanned Airborne Vehicles (UAVs) and satellites is one of the
fundamental challenges in maritime research due to the variable appearances of ships and …

Since remote sensing images are captured from the top of the target, such as from a satellite
or plane platform, ship targets can be presented at any orientation. When detecting ship …

Ship detection in panchromatic optical remote sensing images is faced with two major
challenges, locating candidate regions from complex backgrounds quickly and describing …