SBIR/STTR Research Award

Development of a Tool for the Semi-Automated Restoration of Vehicle-Sized Thermal Clutter in Topographic Height Fields Arising from Terrain Discontinuities

Award identifier 0373cea88a20233e660b243fe9aba120d8d34f8d2fbd3e6b1bf8300afa8b7fc7Awarding agency Department of Defense · Army

Award amount

$99,990

Program and phase

SBIR · Phase I

Award year

2015

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
SIGNATURE RESEARCH, INC.
Proposal award date
2015-09-01
Contract end date
2016-02-28
UEI
GYJ7A9CU49A4
Solicitation number
2015.1
Topic code
A15-006

Research abstract

Physics-based target and background simulations are used extensively by the missile development community for seeker development and testing. Signature Research, Inc. (SGR) proposes to improve the spatial fidelity of the background by adding an important class of clutter objects, features that have near vertical discontinuities in the terrain topography. These features include washes, dry creeks, gulches, berms, arroyos, and road shoulders. This clutter class is important because these features are at or near ground vehicle sizes and solar heat differentially. SGR will use hydraulic erosion algorithms to notionally restore terrain features that are smoothed by the inherent spatial resolution of the topographic height fields. The physics-based erosion algorithms utilize the height field gradients, soil properties, and water volume. In the proposed semi-automatic software application the user controls the erosion parameters to approximate these features. SGR also proposes to develop the tools to automatically apply a variable thickness soil layer two-dimensional thermal mesh to the height field containing discontinuous features with integration to the one-dimensional soil models and develop a specialized thermal solver compatible with the mesh. The resulting soil node physical temperatures and height field will facilitate accurate rendering with either raster or ray-trace methods to form images.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

34 SBIR/STTR records share this UEI (1994–2024). Reported award amounts total $15,141,015. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.