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INVIS : Integrated night vision surveillance and observation system

Author: Toet, A. · Hogervorst, M.A. · Dijk, J. · Son, R. van
Institution: TNO Defensie en Veiligheid
Source:Enhanced and Synthetic Vision 2010. 6 April - 6 April 2010. Orlando, FL, USA, 7689
Proceedings of SPIE - The International Society for Optical Engineering
Identifier: 364418
doi: doi:10.1117/12.849017
ISBN: 9780819481535
Article number: 768906
Keywords: Vision · Augmented reality · False color · Image fusion · Natural color mapping · Night vision · Real-time fusion · 3d Imagery · 3D scenes · Dynamic noise · Electromagnetic spectra · False color · Field trial · Inertial sensor · Local-adaptive · Long wave infrared · Multiband · Natural color mapping · Natural colors · Near Infrared · Near-infrared range · Night vision · Night vision sensors · Nonuniformity Correction · Observation systems · Optical axes · Orientation information · Real time display · Remapping · Scene-based · Sensor signals · Super resolution · Thresholding · Augmented reality · Cameras · Color · Color printing · Image enhancement · Image fusion · Image quality · Infrared devices · Infrared imaging · Infrared spectroscopy · Sensors · Virtual reality · Vision · Three dimensional


We present the design and first field trial results of the all-day all-weather INVIS Integrated Night Vision surveillance and observation System. The INVIS augments a dynamic three-band false-color nightvision image with synthetic 3D imagery in a real-time display. The night vision sensor suite consists of three cameras, respectively sensitive in the visual (400-700 nm), the near-infrared (700-1000 nm) and the longwave infrared (8-14 μm) bands of the electromagnetic spectrum. The optical axes of the three cameras are aligned. Image quality of the fused sensor signals can be enhanced in real-time through Dynamic Noise Reduction, Superresolution, and Local Adaptive Contrast Enhancement. The quality of the longwave infrared image can be enhanced through Scene-Based Non-Uniformity Correction (SBNUC), intelligent clustering and thresholding. The visual and near-infrared signals are used to represent the resulting multiband nightvision image in realistic daytime colors, using the Color-the-Night color remapping principle. Color remapping can also be deployed to enhance the visibility of thermal targets that are camouflaged in the visual and near-infrared range of the spectrum. The dynamic false-color nighttime images can be augmented with corresponding synthetic 3D scene views, generated in real-time using a geometric 3D scene model in combination with position and orientation information supplied by the GPS and inertial sensors of the INVIS system. © 2010 SPIE.