Analysis and deconstruction of images to assess environmental features.
conference paper
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
TNO Identifier
473915
Article nr.
74630D
Source title
Atmospheric Optics: Models, Measurements, and Target-in-the-Loop Propagation III, Optics and Photonics 2008, 2-6 August 2009, San Diego, USA
Files
To receive the publication files, please send an e-mail request to TNO Repository.