Electro-optical and infrared propagation within the troposphere is strongly determined by the
atmospheric path along the line-of-sight. The industry standard program moderate resolution …

Computer vision has become crucial to autonomous systems, helping them navigate
complex environments. Combining this with geospatial data further provides capability to …

Modulation transfer functions (MTFs) describe how a sensor system transfers spatial
frequencies of a scene through an imaging system. For infrared systems, lab measurements …

This Special Issue presents the latest research and developments in the field of optical and
RF propagation sensing, propagation/effects/channel molding, advancements in …

The presence of clouds affects the detection of small airborne targets for infrared imaging.
Clouds increase the signal of the background and create nonuniformity behind a desired …

Modeling and simulation tools are described and implemented in a single workflow to
develop a means of simulating a ship wake followed by simulated synthetic aperture radar …

Drawing from techniques used to dehaze visible, three-channel RGB images, we propose
an approach to separate emissive and reflected radiance in images at short distances with a …

Over the last 20 years, the cost of uncooled microbolometer-based imaging systems has
drastically decreased while performance has increased. In the simplest terms, the figure of …

This study investigates human ability to detect distant targets in cluttered backgrounds using
NIR and LWIR, aiming to facilitate AI performance analysis. Through perception tests and …

Object detection, a critical task in computer vision, has been revolutionized by Deep
Learning technologies, especially convolutional neural networks (CNN). These techniques …