SSA Modeling and Simulation with DIRSIG

David Bennett (Lockheed Martin Advanced Technology Center), David Allen (Lockheed Martin), Jeff A. Dank (Lockheed Martin), Dr. Michael Gartley (Rochester Institute of Technology), Dr. David W. Tyler (Lockheed Martin)

Keywords: Modeling, CAD, MLI, BRDF, Simulation, DIRSIG

Abstract:

We describe and demonstrate a robust, physics-based modeling system to simulate ground and space-based observations of both LEO and GEO objects. With the DIRSIG radiometry engine at its core, our system exploits STK, adaptive optics modeling, and detector effects to produce high fidelity simulated images and radiometry. Key to generating quantitative simulations is our ability to attribute engineering-quality, faceted CAD models with reflective and emissive properties derived from laboratory measurements, including the spatial structure of such difficult materials as MLI. In addition to simulated video imagery, we will demonstrate a computational procedure implementing a position-based dynamics approach to shrink wrap MLI around space components.

Date of Conference: September 9-12, 2014

Track: Poster

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