The integrated fast detection technology for electric bikes, riders, helmets, and license plates
is of great significance for maintaining traffic safety. YOLOv5 is one of the most advanced …

Research on transformers in remote sensing (RS), which started to increase after 2021, is
facing the problem of a relative lack of review. To understand the trends of transformers in …

Obtaining the geographic coordinates of single fruit trees enables the variable rate
application of agricultural production materials according to the growth differences of trees …

Over the past few decades, advances in satellite and aerial imaging technology have made
it possible to acquire high-quality remote sensing images. As one of the most popular …

Unmanned aerial vehicles (UAVs) open up new opportunities for transportation monitoring.
However, the vehicle targets in UAV images are situated in dynamic scenarios, such as …

With the rapid development of deep learning, the application of directional detection in aerial
remote sensing images has gained widespread attention. Among the existing methods …

This research tackles the intricate challenges of detecting densely distributed maize leaf
diseases and the constraints inherent in YOLO-based detection algorithms. It introduces the …

Arrow signs found on roadway pavement are an important component of modern
transportation systems. Given the rise in autonomous vehicles, public agencies are …

In all kinds of applications of optical remote sensing image, object detection has always
been paid more attention by researchers. It has a very wide application prospect in military …

在光学遥感图像的各种应用中, 目标检测历来受到研究人员的重视, 并且在军事和民用方面都有
很广泛的应用前景. 本文综述了基于深度学习的光学遥感图像目标检测算法研究进展. 首先 …