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Novel Representations of Elevation Data

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
81507
Program Year/Program:
2007 / SBIR
Agency Tracking Number:
A072-123-0960
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Numerica Corporation
4850 Hahns Peak Drive Suite 200 Loveland, CO 80538-
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2007
Title: Novel Representations of Elevation Data
Agency / Branch: DOD / ARMY
Contract: W9132V-08-C-0013
Award Amount: $69,985.00
 

Abstract:

With ever-increasing detail in terrain elevation data available to the Warfighter, new challenges are faced in the Battlespace for storage, transmission, and rapid display of these data. The key benefit of these more detailed data is better representation of terrain: thus, traditional approaches to compress or stream the information are generally not acceptable as these techniques typically reduce data fidelity. Accurate representations of elevation data are required for Mission Planning, Intelligence Preparation of the Battlefield, and Dismount Maneuvers. All of these applications are facilitated by highly compressed, high fidelity Digital Elevation Models (DEM). Accordingly, advanced algorithms are required to compress Geographic Information System (GIS) data allowing DEM data to be transmitted, stored, manipulated, and displayed by the Warfighter to facilitate real-time Battlespace assessment. Currently available compression technologies can be quite effective at reducing image data files sizes. Such methods often do not correctly represent outliers in the data, but outliers are perhaps the most important part of a DEM data set. The precise location and elevation of local maxima are critical information for pilots and artillery units. The proposed work centers on compression schemes that accurately encode outlier information while maintaining small file sizes and efficient decompression.

Principal Investigator:

Randy Paffenroth
Program Director
9704612000
rpaffenroth@numerica.us

Business Contact:

Stephanie Mueller
Contract Manger
9704612000
smueller@numerica.us
Small Business Information at Submission:

NUMERICA CORP.
4850 Hahns Peak Drive Suite 200 Loveland, CO 80538

EIN/Tax ID: 841349484
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No