Radiofrequency (RF) communications offer reliable but low data rates and energy-inefficient
satellite links, while free-space optical (FSO) promises high bandwidth but struggles with …

Atmospheric parameters strongly affect the performance of free-space optical
communication (FSOC) systems when the optical wave is propagating through the …

Tackling image degradation due to atmospheric turbulence particularly in dynamic
environments remains a challenge for long-range imaging systems. Existing techniques …

Atmospheric turbulence can cause significant image quality degradation in long-range,
ground-to-ground imagery. There is recent interest in characterizing the performance of …

Images captured from a long distance suffer from dynamic image distortion due to turbulent
flow of air cells with random temperatures, and thus refractive indices. This phenomenon …

Recent progress in ICT has exceeded our expectations for meeting the requirement of
multimedia society in the 21st century. The FSOC is considered to be one of the key …

Convolutional neural networks (CNNs) are utilized for the task of inferring the attitude status
in terms of rotation rate of resident space objects (RSOs) using simulated light curve …

Accurate inversion of atmospheric turbulence strength is a challenging problem in modern
turbulence research due to its practical significance. Inspired by transfer learning, we …

We present a novel method for remote sensing of crosswind using a passive imaging
device, such as a video recorder. The method is based on spatial and temporal correlations …

Optical turbulence can cause substantial distortions in imaging over long horizontal paths.
For Lambertian objects, these distortions are only seen where there is a gradient in the …