• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Testbed for thermal imager characterization using an infrared scene projector
 
  • Details
  • Full
Options
2018
  • Konferenzbeitrag

Titel

Testbed for thermal imager characterization using an infrared scene projector

Abstract
Based on previous work on thermal imager performance analysis at Fraunhofer IOSB using specific scenes and patterns, we present our advances in setting up a testbed for thermal imager characterization with a MIRAGETM XL infrared scene projector. In the first part, we outline the experimental setup of our testbed. It allows for mimicking infrared imaging of real scenes in a controlled laboratory environment. We describe the process of dynamic infrared scene generation as well as the physical limitations of our scene projection setup. A second part discusses ongoing and future applications. This testbed extends our standard lab measurements for thermal imagers by a image based performance analysis method. Scene based methods are necessary to investigate and assess advanced digital signal processing (ADSP) algorithms which are becoming an integral part of thermal imagers. We use this testbed to look into inferences of unknown proprietary ADSP algorithms by choosing suitable test scenes. Furthermore, we investigate the influence of dazzling on thermal imagers by coupling infrared laser radiation into the projected scene. The studies allow to evaluate the potential and hazards of infrared dazzling and to describe correlated effects. In a future step, we want to transfer our knowledge of VIS/NIR laser protection into the infrared regime.
Author(s)
Koerber, M.
Wegner, D.
Schwarz, B.
Ritt, G.
Kessler, S.
Eberle, B.
Hauptwerk
Electro-Optical and Infrared Systems: Technology and Applications XV
Konferenz
Conference Electro-Optical and Infrared Systems - Technology and Applications 2018
Thumbnail Image
DOI
10.1117/12.2325106
Language
Englisch
google-scholar
IOSB
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022