A new deep learning method based on the target gray-level distribution constraint mechanism
model is proposed to solve the infrared dim small target detection problem in the complex …

The success of deep learning methods heavily relies on the availability of adequate samples.
However, in the task of infrared small target detection (ISTD), the lack of high-quality …

Infrared (IR) small target detection in a complex environment has become a hot topic. Due to
the dim intensity and small scale of the target and the strong background clutter, the existing …

Infrared (IR) dim small target detection in heavy noise has always been a challenging
research task. Detection methods based on energy accumulation have achieved effective …

Cloud clutter is one of the main interfering factors for the detection of infrared small targets.
Here, we propose a novel robust target detection method to eliminate cloud clutter …

Infrared small target detection in complex cloud backgrounds has long been a research
challenge. A novel robust target detection method based on the divergence of gradient field is …

Dim small target detection is an important application of infrared (IR) searching and tracking
systems. IR small target detection methods based on target energy information can …

Infrared (IR) small target detection in heavy noise has always been a challenging research
task. Detection methods based on energy accumulation can effectively suppress noise and …

Infrared (IR) small target detection plays an important role in the field of target detection.
However, due to the small IR target texture feature is not obvious, low signal-to-noise ratio, …

… and FI (>71 ku) [(12.4±4.1)%, (61.0±5.8)% and (56.9±5.9)%] (P<0.01). PMV and F II (18-37
ku) … Compared with normal control, F II and F III (<10 ku) remarkably prolonged TT, APTT and …