The standard way to characterize sensor performance is by means of the Minimum
Resolvable Temperature Difference (MRTD) and Minimum Resolvable Contrast (MRC) …

Identification and recognition performance for four staring and two scanning thermal
imagers, were measured in an observer experiment using images that were collected during …

Model-based performance assessment is a valuable approach in the process of designing
or comparing electrooptical and infrared imagers since it alleviates the need for expensive …

Most existing target acquisition (TA) models neglect the influence of background clutter,
which results in inaccurate prediction of TA performance in a complicated environment. In …

Enhancement of undersampled imager performance has been demonstrated using
superresolution techniques. In these techniques, the optical flow of the scene or the relative …

In designing a high performance IR re-imaging optical system for thermal imaging handheld
applications, one of the most changeling tasks is to achieve very compact and light weight …

Advancement in thermal imaging technology has improved the day and night surveillance
capability of electro-optical system. Thermal imager detects the object of interest by sensing …

This paper presents an image-based system performance model. The image-based system
model uses an image metric to compare a given degraded image of a target, as seen …

This work investigates the impact of various types of motion blur on the recognition rate of
triangle orientation discrimination (TOD) models. Models based on convolutional neural …

Today, new generation of powerful non-linear image processing are used for real time super-
resolution or noise reduction. Optronic imagers with such features are becoming difficult to …