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Analysis and deconstruction of images to assess environmental features.

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Author: Degache, M.A.C. · Eijk, A.M.J. van · Hammel, S.M. · Tsintikidis, D.S.
Source:Atmospheric Optics: Models, Measurements, and Target-in-the-Loop Propagation III, Optics and Photonics 2008, 2-6 August 2009, San Diego, USA
Proceedings of SPIE
Identifier: 473915
doi: doi:10.1117/12.828549
Article number: 74630D
Keywords: Cameras · Earth's atmosphere · Modeling · Sensor performance · Sensors


The environment is nowadays one of the most limiting factors for reliable detection, clear imagery and thus a successful classification of potential threats by electro-optical (EO) sensors. However, the characterization of the environment and the assessment of its impact on sensor performance remains a difficult issue. Measurements of meteorological parameters are not always easy and cannot always be reliable. It becomes more and more interesting to extract the information the environment by new methods. In this paper, the initial steps and the methodology of an inverse scheme that retrieve valuable information about the EO propagation conditions from infrared (IR) camera images is proposed. The use of the method under subrefractive conditions shows that features of the medium can be derived through a thorough analysis of sensor images. By an original use of EO propagation modeling, it is possible to partially reconstruct sensor images that were deformed by a refractive atmosphere