Paper
24 October 2013 An earth imaging camera simulation using wide-scale construction of reflectance surfaces
Kiran Murthy, Alexandra H. Chau, Minesh B. Amin, M. Dirk Robinson
Author Affiliations +
Abstract
Developing and testing advanced ground-based image processing systems for earth-observing remote sensing applications presents a unique challenge that requires advanced imagery simulation capabilities. This paper presents an earth-imaging multispectral framing camera simulation system called PayloadSim (PaySim) capable of generating terabytes of photorealistic simulated imagery. PaySim leverages previous work in 3-D scene-based image simulation, adding a novel method for automatically and efficiently constructing 3-D reflectance scenes by draping tiled orthorectified imagery over a geo-registered Digital Elevation Map (DEM). PaySim’s modeling chain is presented in detail, with emphasis given to the techniques used to achieve computational efficiency. These techniques as well as cluster deployment of the simulator have enabled tuning and robust testing of image processing algorithms, and production of realistic sample data for customer-driven image product development. Examples of simulated imagery of Skybox’s first imaging satellite are shown.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kiran Murthy, Alexandra H. Chau, Minesh B. Amin, and M. Dirk Robinson "An earth imaging camera simulation using wide-scale construction of reflectance surfaces", Proc. SPIE 8889, Sensors, Systems, and Next-Generation Satellites XVII, 88891G (24 October 2013); https://doi.org/10.1117/12.2028432
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Device simulation

Cameras

Image processing

Computer simulations

Sensors

Atmospheric modeling

3D image processing

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