Over the last decade, many algorithms have been presented on an infrared target detection
problem. This paper reviews the recent approaches in infrared small target detection …

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 …

In this letter, a weighted strengthened local contrast measure (WSLCM) algorithm for
infrared (IR) small target detection is proposed, it consists of two modules, the strengthened …

Local contrast has been proved efficient for infrared (IR) small-target detection. However,
current algorithms do not enhance true target purposefully before local contrast calculation …

To improve the detection ability of infrared small targets in complex backgrounds, a novel
method based on non-convex rank approximation minimization joint l 2, 1 norm (NRAM) was …

Many state-of-the-art methods have been proposed for infrared small target detection. They
work well on the images with homogeneous backgrounds and high-contrast targets …

Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared
search and track applications for self-defense or attacks. Consequently, an effective small …

Robust detection of infrared small and dim targets with highly heterogeneous backgrounds
plays an indispensable role in infrared search and tracking (IRST) system, which is still a …

Infrared remote sensing imaging has a wide range of military and civilian applications. The
detection of dim small targets is one of the most valuable research topics in this field …

Robust human visual system (HVS) properties can effectively improve the infrared (IR) small
target detection capabilities, such as detection rate, false alarm rate, speed, etc. However …