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  4. Simulation of atmospheric and terrestrial background signatures for detection and tracking scenarios
 
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2015
Conference Paper
Title

Simulation of atmospheric and terrestrial background signatures for detection and tracking scenarios

Abstract
In the fields of early warning, one is depending on reliable image exploitation: Only if the applied detection and tracking algorithms work efficiently, the threat approach alert can be given fast enough to ensure an automatic initiation of the countermeasure. In order to evaluate the performance of those algorithms for a certain electro-optical (EO) sensor system, test sequences need to be created as realistic and comprehensive as possible. Since both, background and target signature, depend on the environmental conditions, a detailed knowledge of the meteorology and climatology is necessary. Trials for measuring these environmental characteristics serve as a solid basis, but might only constitute the conditions during a rather short period of time. To represent the entire variation of meteorology and climatology that the future system will be exposed to, the application of comprehensive atmospheric modelling tools is essential. This paper gives an introduction of the atmospheric modelling tools that are currently used at Fraunhofer IOSB to simulate spectral background signatures in the infrared (IR) range. It is also demonstrated, how those signatures are affected by changing atmospheric and climatic conditions. In conclusion - and with a special focus on the modelling of different cloud types - sources of error and limits are discussed.
Author(s)
Schweitzer, Caroline  
Stein, Karin  
Mainwork
Target and Background Signatures  
Conference
Conference "Target and Background Signatures" 2015  
DOI
10.1117/12.2196382
Language
English
Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB  
Keyword(s)
  • target detection

  • early warning

  • simulation tools

  • atmospheric modelling

  • infrared

  • spectral radiance

  • background simulation

  • MATISSE

  • EO sensors

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