Material Classification for Physics-Based Sensor Simulation Using Stereo-Pair Imagery

The recent deployment of high-resolution stereo-imaging sensors aboard satellites affords a unique opportunity to to derive more realistic material classified terrain terrain databases for physics-based sensor and mission trainers. JRM is uniquely experienced and qualified in the many technology areas required to support this topic: EO, IR and radar signature synthesis and phenomenology understanding, material-classification algorithm and software development, real-time sensor simulation product development, an established network of sensor simulation customers and distributors, maintenance of a material measurement and spectrometry laboratory, partnerships with satellite imagery providers, and expertise in state-of-the-art GPU shader technology. In this Phase I SBIR, JRM Technologies proposes to explore and design a comprehensive set of innovations for exploiting stereo-pair satellite imagery toward improved physics-based simulation for war-fighter sensor training. JRM proposes the following specific innovations: 1. Fast, efficient algorithms and software for processing stereo-pair imagery into 3D-point clouds; 2. Improved material classification techniques and software for leveraging this 3D stereo-pair-derived data; 3. GPU-techniques for improved EO, IR, and radar channel simulation which leverage stereo-pair-enhanced material-classified terrain databases; and 4. Improved material data libraries for producing and exploiting stereo-pair-enhanced material-classified terrain databases. As an option, JRM also proposes a Proof of Concept demonstration with stereo pair imagery.