SBIR/STTR Research Award
Adaptive Detection and Classification of Micro-Terrain Features from LiDAR Data using Sparse Decomposition Based Analytics
Award amount
$1,000,000Program and phase
SBIR · Phase IIAward year
2015Award details
- Awarding agency
- Department of Defense
- Branch
- Army
- Recipient company
- SR2 Group, LLC
- Proposal award date
- 2015-05-15
- Contract end date
- 2017-06-15
- UEI
- K66UL83TXS27
- Solicitation number
- 2013.2
- Topic code
- A13-077
Research abstract
Important information lies at the processing resolution limits of current LiDAR systems. Subtle discontinuities such as runoff channels, fault lines, and ridges can reveal important local terrain modeling data as well as provide an indication of factors
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.
- Adaptive Detection and Classification of Micro-Terrain Features from LiDAR Data using Sparse Decomposition Based Analytics
- SBIR Phase I: High-throughput 3-D Insect Data Capture Enabling Large Scale Specimen Digitization and Machine Species Identification
- APPLICATION OF SPARSE DECOMPOSITION, DIMENSION REDUCTION, AND EMERGENT FEATURE RECOVERY TECHNIQUES TO LEARNING FROM MASSIVE PHYSICS BASED SIMULATION
- Adaptive Processor for Large Area Urban-Noise Characterization, Signature Extraction, Detection, and Localization
Research funding history
5 SBIR/STTR records share this UEI (2008–2015). Reported award amounts total $1,419,999. Reported amounts are not federal obligations.
Phases: Phase I, Phase II
Agencies: Department of Defense, National Science Foundation