Geospecific Night Imagery for Real-time Training Simulators

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$749,878.00
Award Year:
2009
Program:
SBIR
Phase:
Phase II
Contract:
N61339-09-C-0031
Award Id:
82592
Agency Tracking Number:
N071-045-0807
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
RENAISSANCE SCIENCES CORP. (Currently RENAISSANCE SCIENCES CORPORATION)
1351 N Alma School Rd, #265, Chandler, AZ, 85224
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
135051964
Principal Investigator:
Karl Mathia
Principal Investigator
(650) 906-2218
kmathia@rscusa.com
Business Contact:
Jeff Clark
Principal Investigator
(480) 374-5072
jclark@rscusa.com
Research Institution:
n/a
Abstract
The current modeling of night-time visual and sensor scenes for real-time training simulators is expensive, inconsistent, and lacking in realism. During the SBIR Phase I effort we have developed innovative geospatial data, tools, processes, and simulation techniques to automatically derive geospecific cultural lighting models and real-time representations. Our technical approach is driven by the assumption that today's remotely sensed night imagery lacks the dynamic range, intensity precision, spatial resolution, and broad availability required to support advanced night simulations, particularly in the sensor domain. Instead, the approach focuses on using night imagery, along with many other data types, to discern and/or predict the presence of specific types of cultural lighting at specific locations. Several core concepts were demonstrated and will be continued in Phase II: the extraction of cultural lighting types and positions from geospecific night imagery; the prediction of cultural lighting types and positions from commonly available geospatial data other than night imagery; the fusion of the predicted cultural lighting types and positions; the real-time rendering of high density, high dynamic range cultural lighting representations.

* information listed above is at the time of submission.

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