INVIS : Integrated night vision surveillance and observation system
conference paper
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.
Topics
Augmented realityFalse colorImage fusionNatural color mappingNight visionReal-time fusion3d Imagery3D scenesDynamic noiseElectromagnetic spectraFalse colorField trialInertial sensorLocal-adaptiveLong wave infraredMultibandNatural color mappingNatural colorsNear InfraredNear-infrared rangeNight visionNight vision sensorsNonuniformity CorrectionObservation systemsOptical axesOrientation informationReal time displayRemappingScene-basedSensor signalsSuper resolutionThresholdingAugmented realityCamerasColorColor printingImage enhancementImage fusionImage qualityInfrared devicesInfrared imagingInfrared spectroscopySensorsVirtual realityVisionThree dimensional
TNO Identifier
364418
ISSN
0277786X
ISBN
9780819481535
Article nr.
768906
Source title
Enhanced and Synthetic Vision 2010. 6 April - 6 April 2010. Orlando, FL, USA
Collation
16 p.