Single-frame infrared small target (SIRST) detection aims at separating small targets from
clutter backgrounds. With the advances of deep learning, CNN-based methods have yielded …

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 …

Training a convolutional neural network (CNN) to detect infrared small targets in a fully
supervised manner has gained remarkable research interests in recent years, but is highly …

The detection of small infrared targets with low signal-to-noise ratios (SNRs) and contrasts in
noisy and cluttered backgrounds is challenging and therefore a domain of active research …

Space-based infrared tiny ship detection aims at separating tiny ships from the images
captured by Earth-orbiting satellites. Due to the extremely large image coverage area (eg …

The detection of small infrared targets lacking texture and shape information in the presence
of complex background clutter is a challenge that has attracted considerable research …

Infrared small target detection is an important fundamental task in the infrared system.
Therefore, many infrared small target detection methods have been proposed, in which the …

To solve the problem of infrared (IR) small target tracking loss or error caused by factors
such as scale changes, motion blur, and occlusion, this article proposes a multistrategy …

Detecting infrared small targets lacking texture and shape information in cluttered
environments is extremely challenging. With the development of deep learning …

The infrared small and dim (S&D) target detection is one of the key techniques in the infrared
search and tracking system. Since the local regions similar to infrared S&D targets spread …