In this project, applied research LLC (arllc), the university of tennessee, knoxville (UTK), and the arizona state university (ASU) propose high performance image processing algorithms that will…
Ended Definitive Contract Awarded Last action
- Contract number
- 80NSSC17C0035
- Awardee
-
Applied Research LLC UEI X4JWBVVRCM34
- Awarding agency
-
Shared Services Center
National Aeronautics and Space Administration
- Obligated
- $754,999
Award facts
- Contract value 100% obligated
- $754,999.00 Current and potential, with all options
- Completion date 100% complete
- Current and potential, with all options
- NAICS code
- 541712 Research and Development in the Physical, Engineering, and Life Sciences (except Biotechnology)
- Set-aside
- Total Small Business
- Competition
- Full and Open Competition after exclusion of sources · 500 offers Negotiated Proposal / Quote
- Pricing
- Firm Fixed Price
- Place of performance
- Rockville, MD 20850, USA
- Research
- STTR Phase II
Award details come from SAM.gov/FPDS.
Transactions
| Action | Obligated | Date |
|---|---|---|
| Other Administrative Action | $0 | |
| Other Administrative Action | $0 | |
| Original award | $754,999 |
About this award
This is a $754,999 STTR Phase II contract awarded by the National Aeronautics and Space Administration Shared Services Center to Applied Research LLC, a minority-owned small business. The contract is for the development of high-performance image processing algorithms to support the Mastcam imagers on Mars rovers. The algorithms will fuse stereo images at different wavelengths to create multispectral image cubes for visualization, data clustering, anomaly detection, and composition estimation. This contract builds on prior SBIR work by Applied Research to provide advanced AI and machine learning systems for the Department of Energy and the Navy. The contract is a firm fixed price definitive contract and was set aside for small businesses.
Description
In this project, applied research LLC (arllc), the university of tennessee, knoxville (UTK), and the arizona state university (ASU) propose high performance image processing algorithms that will support current and future mastcam imagers. The algorithms fuse the acquired mastcam stereo images at different wavelengths to generate multispectral image cubes, which can then be used for high quality virtual reality (immersive) visualization in 3D, data clustering, anomaly detection, and rough composition estimation from relatively long distance when compared to libs instrument. One major challenge in constructing a multispectral image cube from the two mastcams is the alignment of the images in the stereo image pair which needs to have registration errors in the subpixel level. To address the challenge in the stereo image alignment, we propose a two-step image registration framework. In this framework, we also provide a set of image processing techniques, including pansharpening, debayering, data clustering, and anomaly detection. In phase II, we will further validate the above algorithms using mastcam-z data. Moreover, we will develop new data products for generating 12-band image cubes, high resolution stereo images, and new layers for java mission-planning and analysis for remote sensing (jmars).
Quick answers
Who was awarded contract 80NSSC17C0035?
80NSSC17C0035 was awarded to Applied Research LLC by Shared Services Center (National Aeronautics and Space Administration) on September 6, 2017.
How much is contract 80NSSC17C0035 worth?
The government has obligated $754,999 on 80NSSC17C0035.
Was contract 80NSSC17C0035 competed?
The extent of competition for 80NSSC17C0035 was full and open competition after exclusion of sources. The government received 500 offers. It was set aside: Total Small Business.
On GovTribe
See this award's full record
- Every transaction and funding action
- The awardee's other awards and teaming partners
- Similar awards and recompete opportunities
- Ask GovTribe AI about this award