This study adheres to a set of guidelines for performing an SLR. The mission of the SLR is to
find publications, publishers, deep learning types, improved and amended deep learning …

Panchromatic and multispectral image fusion, termed pan-sharpening, is to merge the
spatial and spectral information of the source images into a fused one, which has a higher …

Advances in space-based ocean surveillance systems have improved the detection of
objects from high-quality remote-sensing big data. Previous studies mainly focused on …

Model-based decomposition methods are widely used in full-polarization synthetic aperture
radar (SAR), for the inversion and interpretation of ground features and constitute an …

Sufficient synthetic aperture radar (SAR) target images are very important for the
development of research works. However, available SAR target images are often limited in …

We consider a distributed detection problem within a wireless sensor network (WSN), where
a substantial number of sensors cooperate to detect the existence of sparse stochastic …

Due to the continuous development of few-shot learning, there have been notable
advancements in methods for few-shot object detection in recent years. However, most …

Ship sailing is a complex endeavour, requiring carefully considered proactive and reactive
strategies in choosing the course of action that best suits the various events to be managed …

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 …

The performance of constant false alarm rate (CFAR) detectors is often severely degraded in
clutter edge and under multiple target interference. CFAR detection in the above …