Ship detection and classification pose critical challenges in maritime surveillance and
monitoring. On the one hand, they find applications in civilian domains, like fishery …

Current methods for remote sensing image dehazing confront noteworthy computational
intricacies and yield suboptimal dehazed outputs, thereby circumscribing their pragmatic …

With the rapid development of object detection technology for unmanned aerial vehicles
(UAVs), it is convenient to collect data from UAV aerial photographs. They have a wide …

Issues, such as insufficient feature representation and background confusion, make
detection tasks for small object in remote sensing arduous. Particularly, when the algorithm …

Object detection is of great importance for remote sensing image interpretation work and has
received significant attention. However, small weak object detection has always been a …

Remote sensing object detection (RSOD) encounters challenges in effectively extracting
features of small objects in remote sensing images (RSIs). To alleviate these problems, we …

Remote sensing object detection (RSOD) encounters challenges in complex backgrounds
and small object detection, which are interconnected and unable to address separately. To …

Multi-scale object detection is critical for analyzing remote sensing images. Traditional
feature pyramid networks, which are aimed at accommodating objects of varying sizes …

The Intersection over Union (IoU) has been widely employed in various stages of object
detection owing to its ability to quantify the similarity between boxes objectively. However, in …

Significant progress has been achieved in the field of oriented object detection (OOD) in
recent years. Compared to natural images, objects in remote sensing images exhibit …