Paper
24 May 1996 Real-time image visualization for sensors
David C. Anding, Alexander Szabo
Author Affiliations +
Abstract
Real-time image visualization simulation for sensors operating against synthetic environments comprised of natural backgrounds, cultural features, mobile objects, and dynamic weather is now a reality. A commercial software product is available which is capable of providing sensor image visualization for any spectral filter from the visible through the far infrared. The produce is called SensorVisionTM and is a module of a product called VegaTM. It is built upon IRIS PerformerTM and OpenGLTM software and is targeted for use on Silicon Graphics OnyxTM computers with InfiniteRealityTM or RealityEngine2TM graphics hardware. Vega with SensorVision is ideally suited to provide the scene image input to a real-time hardware-in-the-loop sensor simulation ranging from image intensified night vision goggles, to midwave FLIRs, to longwave FLIRs. SensorVision images are quantitative (each image pixel is expressed in watts/cm2/steradian), are computed in real-time, and represent the diurnal effects of weather (including surface temperature variation) on scene images. This paper presents the radiometric processes and algorithms used by the software when computing its output images and discusses the use of the software in hardware-in-the-loop simulation. The paper also highlights software capabilities and features, e.g.: Images include reflection from sun/moon and ambient sky illumination, and thermal emission from extended polygons with radiometric shading between vertices, and atmospheric attenuation and path radiance with pixel line- of-sight variability; Polygon surface temperatures of natural backgrounds and cultural features are computed asynchronously and continuously updated throughout diurnal cycle; Polygons are radiometrically textured and spatially correlated with visible RGB textures.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David C. Anding and Alexander Szabo "Real-time image visualization for sensors", Proc. SPIE 2741, Technologies for Synthetic Environments: Hardware-in-the-Loop Testing, (24 May 1996); https://doi.org/10.1117/12.241100
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Sensors

Image sensors

Databases

Environmental sensing

Image visualization

Computer simulations

Visualization

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