Fast and robust small target detection is one of the key technologies in the infrared (IR)
search and tracking systems. With the development of deep learning, there are many data …

As a fundamental and important task in remote sensing, remote sensing image scene
understanding (RSISU) has attracted tremendous research interest in recent years. RSISU …

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 small target detection plays an important role in precision guidance, infrared
warning, and other applications. The infrared patch-tensor (IPT) model has good detection …

Infrared search and track (IRST) system is widely used in many fields, however, it's still a
challenging task to detect infrared small targets in complex background. This paper …

Many existing low-rank methods have achieved good detection performance in uniform
scenes, but they suffer from a high false alarm rate in complex noisy scenes. Therefore, it is …

Due to its many applications, multi-class geospatial object detection has attracted increasing
research interest in recent years. In the literature, existing methods highly depend on costly …

Top-Hat transformation is an essential technology in the field of infrared small target
detection. Many modified Top-Hat transformation methods have been proposed based on …

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 …

With many platforms and sensors continuously observing the earth surface, the large
amount of remote sensing data presents a big data challenge. While remote sensing data …