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Removing Atmospheric Turbulence via Deep Adversarial Learning
IEEE Transactions on Image Processing, 2022Restoring images degraded due to atmospheric turbulence is challenging as it consists of several distortions. Several deep learning methods have been proposed to minimize atmospheric distortions that consist of a single-stage deep network.
Shyam Nandan Rai, C.V. Jawahar
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Confidence Guided Network For Atmospheric Turbulence Mitigation
International Conference on Information Photonics, 2021Atmospheric turbulence can adversely affect the quality of images or videos captured by long range imaging systems. Turbulence causes both geometric and blur distortions in images which in turn results in poor performance of the subsequent computer ...
Nithin Gopalakrishnan Nair +1 more
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Encyclopedia of Wildfires and Wildland-Urban Interface (WUI) Fires, 2018
Warren E. Heilman +4 more
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Warren E. Heilman +4 more
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Atmospheric coherent turbulence
Atmospheric and Oceanic Optics, 2012This paper summarizes results received by authors for last decade on the problem of the atmospheric coherence turbulence. Also shows some new results of the unpublished researches. According to our data the coherent turbulence is the result of the self-organizing non-linear processes in continuous media, including in the atmospheric air.
Vladimir P. Lukin +3 more
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An Atmospheric Turbulence Probe
IEEE Transactions on Geoscience and Remote Sensing, 1980In this paper, a complete low-cost atmospheric turbulence probe, capable of measuring temperature, differential temperature, humidity, horizontal wind speed and direction, and vertical wind component is described. Special care has been taken to minimize the probe's weight so that it may be carried easily by a balloon.
Asimakopoulos, D.N. +3 more
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Choice of the Model of Atmospheric Turbulence
Applied Optics, 1972The concept of equivalent models of turbulence is introduced in order to investigate how the theoretical behavior of the structure function of an electromagnetic wave propagating in a given turbulent medium depends on the turbulence model. It is shown that equivalent models may give rise to substantially different structure functions of a wave ...
A. Consortini, L. Ronchi
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Zernike polynomials and atmospheric turbulence
, 1976This paper discusses some general properties of Zernike polynomials, such as their Fourier transforms, integral representations, and derivatives. A Zernike representation of the Kolmogoroff spectrum of turbulence is given that provides a complete ...
R. Noll
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Turbulent Diffusion in the Atmosphere
2017This chapter deals with an approach towards a physical description of the spreading of pollution in a turbulent atmosphere. We may witness this phenomenon quite commonly by, e.g., following the smoke of a chimney or the steam emerging from a power plant.
Armin Raabe, Manfred Wendisch
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Influences of atmospheric turbulence effects on the orbital angular momentum spectra of vortex beams
, 2016We investigate the atmospheric turbulence effects on orbital angular momentum (OAM) spectra of different kinds of vortex beams, including Laguerre–Gaussian (LG) beams and Bessel beams, numerically. We generate the holograms of atmospheric turbulence with
Shiyao Fu, Chunqing Gao
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500 Gb/s free-space optical transmission over strong atmospheric turbulence channels.
Optics Letters, 2016We experimentally demonstrate a high-spectral-efficiency, large-capacity, featured free-space-optical (FSO) transmission system by using low-density, parity-check (LDPC) coded quadrature phase shift keying (QPSK) combined with orbital angular momentum ...
Z. Qu, I. Djordjevic
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