Compared with radar and visible light imaging, infrared imaging has its own unique
advantages, and in recent years, it has become a topic of intense research interest. Robust …

Infrared (IR) small target detection in complex backgrounds is one of the key technologies in
IR search and tracking applications. Although significant progress has been made over the …

Recently, model-driven deep networks have achieved excellent detection performance on
infrared small targets in cluttered environments. However, its detection performance is …

Infrared small target detection plays an important role in the infrared search and tracking
applications. In recent years, deep learning techniques have been introduced to this task …

Infrared (IR) small target detection plays an important role in the field of image detection
area owing to its intrinsic characteristics. This paper presents a multiscale local homogeneity …

The loss of infrared dim-small target features in the network sampling process is a major
factor affecting its detection accuracy. In order to reduce this loss, this paper proposes YOLO …

We propose a new quantum-inspired genetic algorithm (QGA) aimed to find the optimal
initial cluster centers of the Fuzzy C-Means (FCM). The quantum chromosomes of the …

Robust detection of infrared small target is still a challenge due to the diversity and
complexity of the background. In this letter, we propose a novel detection approach based …

随着红外探测技术的不断发展, 对探测距离的要求越来越高, 红外弱小目标检测技术已成为国内
外红外探测领域的研究重点. 简介了红外弱小目标检测的背景及意义; 重点综述了目前在红外 …

The pantograph-catenary geometric parameters are important indicators for real-time
monitoring the normal operation of electric multiple unit (EMU) trains, the stable and …