Since the rise of deep learning (DL), methods are being proposed daily for all kinds of
applications such as systems that include radar, infrared (IR), and electro-optical (EO) …

Since the rise of deep learning (DL), methods are being proposed daily for all kinds of
applications such as systems that include radar, infrared (IR), and electro-optical (EO) …

Human visual perception is limited to the visual-optical spectrum. Machine vision is not.
Cameras sensitive to the different infrared spectra can enhance the abilities of autonomous …

Vehicle detection in infrared aerial images is vital for both military and civilian applications,
as infrared imaging remains effective under low-light conditions and various adverse …

Infrared automatic target recognition (ATR) technology still is a challenging problem in
military applications. In recent years, convolutional neural networks (CNNs) models have …

With the rapid development of infrared cameras, infrared images which have the unique
advantage of all-weather detection ability are more and more incorporated into practical …

Infrared (IR) images are widely used in many fields such as medical imaging, object
tracking, astronomy and military purposes for securing borders. Infrared images can be …

Implementation of Machine Learning/Deep Learning techniques in Image Processing have
paved way to advanced object detection, classification and tracking in a real time …

Perception system plays an important role in Advanced driver assistance systems (ADAS) &
Autonomous vehicles (AV) to understand the surrounding environment and further …

The recent explosion in applications of machine learning to satellite imagery often rely on
visible images and therefore suffer from a lack of data during the night. The gap can be filled …