Robust and effective detection of small target and false alarm (FA) suppression are the key
techniques in infrared search and track systems. In this paper, the derivative entropy-based …

Motivated by the robust principal component analysis, infrared small target image is
regarded as low-rank background matrix corrupted by sparse target and noise matrices, thus …

The existing small target detection methods may suffer serious false alarm rate and low
probability of detection in the situation of intricate background clutter. To cope with this …

Detection of small target has been an important and challenging task in infrared systems.
Most detection algorithms which only use single metric are difficult to separate target from …

Detecting the surface defects of complex components exhibiting different visual properties in
positions, shapes, number and sizes is a challenging problem. In this paper a novel …

The robust and efficient detection of infrared small target is a key technique for infrared
search and track systems. Several robust principal component analysis (RPCA)-based …

Infrared dim small target detection is the critical technology in the situational awareness field
currently. The detection algorithm of the infrared patch image (IPI) model combined with the …

This paper proposes the end‐to‐end detection of a deep network for far infrared small target
detection. The problem of detecting small targets has been a subject of research for decades …

A novel infrared small target detection method based on sky clutter and target sparse
representation is proposed in this paper to cope with the representing uncertainty of clutter …

This paper presents a new method for object detection and tracking based on visual
saliency as a way of mitigating against challenges present in maritime environments. Object …