Title
Turbulence Compensation: an overview
Author
van Eekeren, A.W.M.
Schutte, K.
Dijk, J.
Schwering, P.B.W.
van Iersel, M.
Doelman, N.J.
Contributor
Holst, G.C. (editor)
Publication year
2012
Abstract
In general, long range visual detection, recognition and identification are hampered by turbulence caused by atmospheric conditions. Much research has been devoted to the field of turbulence compensation. One of the main advantages of turbulence compensation is that it enables visual identification over larger distances. In many (military) scenarios this is of crucial importance. In this paper we give an overview of several software and hardware approaches to compensate for the visual artifacts caused by turbulence. These approaches are very diverse and range from the use of dedicated hardware, such as adaptive optics, to the use of software methods, such as deconvolution and lucky imaging. For each approach the pros and cons are given and it is indicated for which scenario this approach is useful. In more detail we describe the turbulence compensation methods TNO has developed in the last years and place them in the context of the different turbulence compensation approaches and TNO’s turbulence compensation roadmap. Furthermore we look forward and indicate the upcoming challenges in the field of turbulence compensation.
Subject
Image restoration
Phase diversity
Turbulence compensation
Atmospheric conditions
Compensation method
Dedicated hardware
Long range
Look-forward
Lucky imaging
Phase diversity
Roadmap
Software methods
Visual artifacts
Visual detection
Visual identification
Adaptive optics
Deconvolution
Hardware
Image reconstruction
Infrared imaging
Imaging systems
Defence Research
Defence, Safety and Security
Physics & Electronics ; Mechatronics, Mechanics & Materials
II - Intelligent Imaging ; ED - Electronic Defence ; OM - Opto-Mechatronics
TS - Technical Sciences
To reference this document use:
http://resolver.tudelft.nl/uuid:653f32aa-76b4-4343-85c2-90d2dd048831
DOI
https://doi.org/10.1117/12.918544
TNO identifier
462333
Publisher
SPIE, Bellingham, WA
Source
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, 24 April 2012, Baltimore, MD, USA, 83550Q
Series
Proceedings of SPIE
Document type
conference paper