SBIR/STTR Research Award

Next Generation, Low Cost, Direct Geo-referencing of Aerial Images

Award identifier 4307eda0ba0b1c6aa9a591a28994c78f8b23804e44fbe04e3e2f019a219d0629Awarding agency National Aeronautics and Space Administration

Award amount

$70,000

Program and phase

SBIR · Phase I

Award year

2003

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
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
Seagull Technology, Inc.
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

Today, direct geo-referencing is performed with very expensive (>$50,000 in parts alone) differential GPS and inertial measurement units (IMUs) that produce precise measurements of the camera attitude and position in the sky. Further, most existing systems require the establishment of ground control points to achieve required accuracy, incurring further costs and limitations. Seagull proposes to develop a next-generation, low-cost direct geo-referencing system that will substantially reduce the cost (to <$4,000 in parts), size, and power requirements while still enabling better than 2 m spatial resolution and eliminating the need for ground control points. The innovation underlying Seagull?s position and attitude solution is our proven, advanced sensor fusion algorithms that combine differential carrier phase GPS with data from low-cost angular rate sensors and accelerometers to produce a highly accurate and stable platform attitude solution. The goal of this Phase I proposal is to leverage our recent experience in developing and deploying low cost, airborne portable sensor suites to produce a preliminary design specification for the next generation of an efficient, advanced, low cost position and attitude system for multi-sensor, multi-spectral airborne image registration without ground control points, which would then be prototyped and tested in Phase II.

Technology keywords

Not reported

Agency intelligence

National Aeronautics and Space Administration

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.