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 …

The continuous development of industry big data technology requires better computing
methods to discover the data value. Information forecast, as an important part of data mining …

Recently, infrared small target detection problem has attracted substantial attention. Many
works based on local low-rank model have been proven to be very successful for enhancing …

Segmentation of infrared (IR) ship images is always a challenging task, because of the
intensity inhomogeneity and noise. The fuzzy C-means (FCM) clustering is a classical …

Infrared small target detection is widely used for early warning, aircraft monitoring, ship
monitoring, and so on, which requires the small target and its background to be represented …

Single-frame infrared small target detection (SF-IRSTD) has grown in popularity due to its
broad application. Several models based on low-rank and sparse decomposition (LRSD) …

A novel thermal infrared pedestrian segmentation algorithm based on conditional generative
adversarial network (IPS-cGAN) is proposed for intelligent vehicular applications. The …

Pedestrian detection in infrared images is always a challenging task. Segmentation is an
important step of pedestrian detection. An accurate segmentation could provide more …

Unloading activities directly impact the progress of earthmoving and filling projects, and a
reliable multistep-ahead unloading duration prediction could help optimize equipment …

Segmentation of infrared ship target is important for sea surveillance system. However, as a
result of the deficiencies of infrared images, the segmentation of infrared ship image …