Rapid Scene Creation for Multispectral Terrain Signature Models and Simulations

Award Information
Agency: Department of Defense
Branch: Army
Contract: W31P4Q-13-C-0006
Agency Tracking Number: A122-085-0118
Amount: $99,988.00
Phase: Phase I
Program: SBIR
Awards Year: 2012
Solicitation Year: 2012
Solicitation Topic Code: A12-085
Solicitation Number: 2012.2
Small Business Information
JRM Enterprises, Inc.
4820 Southpoint Drive,, Suite 203, Fredericksburg, VA, -
DUNS: 011471393
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Karl Leodler
 Project Leader
 (540) 498-7770
 karl.leodler@jrmtech.com
Business Contact
 shon Ramsel
Title: Administration Manager
Phone: (540) 371-6590
Email: shon.ramsel@jrmtech.com
Research Institution
 Stub
Abstract
JRM and DVC propose significant innovations around our powerful OSCRE architecture for rapid scene generation directly from raw terrain source data. OSCRE requires: high-resolution DEM data input, complete shape file/vector maps, and high-resolution satellite imagery. With these inputs, OSCRE supports OTF terrain tessellation/creation, 3D feature extrusion and model instantiation, material classification/physical property attribution, and credible physics-based multi-spectral sensor image generation. OSCRE applies physics-based irradiance, reflection, thermal, and atmospherics models to provide accurate, multispectral sensor simulation while rendering in real-time. OSCRE performs this entire process On-The-Fly, from loading the raw source data to producing high-fidelity, high dynamic range multispectral sensor imagery. This SBIR effort expands OSCREs architecture and develops innovative new algorithms to address cases where NGA and other terrain data-sources have gaps, like incomplete, low-resolution, or non-existent vector, feature, and elevation data. Such innovations will include fast photogrammetric algorithms for high-resolution DEM generation from stereo-pair imagery and/or Lidar/Ladar data; advanced, fast algorithms for feature extraction; rapid shape/vector-file generation; and advanced fast color-space clustering and PCA algorithms for image segmentation and material classification. The Phase I design and Phase II prototype will include a mechanism to generate rapid terrain/scene database output compatible with CSG and other multi-spectral sensor image rendering engines.

* information listed above is at the time of submission.

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