With the soaring development of deep learning (DL) mechanisms in recent years,
convolution neural network (CNN)-based methods have been extensively investigated to …

Ship detection aims to automatically identify whether there are ships in the images, precisely
classifies and localizes them. Regardless of whether utilizing early manually designed …

As a convention, satellites and drones are equipped with sensors of both the visible light
spectrum and the infrared (IR) spectrum. However, existing remote sensing object detection …

在遥感图像舰船检测任务中, 可见光图像细节和纹理信息丰富, 但成像质量易受云雾干扰,
合成孔径雷达(SAR) 图像具有全天时和全天候的特点, 但图像质量易受复杂海杂波影响 …

No matter in the field of military investigation or maritime law enforcement, the ship target
detection and identification technology is very important. Especially with the development of …

These days, plastic trash is exponentially overwhelming our waterways. The catastrophe
has attracted global attention at this point. As a result, protecting the environment on the …

Drones equipped with visible and infrared sensors play a vital role in urban road
supervision. However, conventional methods using RGB-IR image pairs often struggle to …

Ship detection in the maritime domain awareness field has seen a significant shift towards
deep-learning-based techniques as the mainstream approach. However, most existing deep …

Due to the long distance and large-scale of satellite imaging, and the high complexity of
depth convolutional neural network, common detectors cannot be directly applied to large …

遥感图像舰船目标检测技术在工程上得到广泛应用. 但是, 目前的研究主要集中在粗粒度检测
方法上, 面向细粒度检测任务的研究较少. 在遥感舰船图像中, 细粒度检测面临两类挑战 …