RESONON, INC. — Department of Energy SBIR Phase I: 20a

RESONON, INC. — SBIR Phase I award from Department of Energy.

Phase I SBIR feasibility signal

  • Phase I awards fund proof-of-concept work. For capture teams, they mark early interest from Department of Energy in a technical approach.
  • Watch for Phase II follow-ons from the same firm/topic family — that conversion path is where budgets and transition pressure rise.
  • Obligated amount $224,999. Cross-check similar awards in the same agency and technology tags for going-rate context.
  • Topic code 20a links this award to a solicitation family — search the same topic stem for incumbents and recompete timing.

Informational capture context from public federal data — not legal or bid advice.

Amount
$224,999
Agency
Department of Energy
Program / Phase
SBIR · Phase I
Topic
20a
Solicitation
DE-FOA-0001164
NAICS
Place of performance
MT
Period
2015-02-17 → 2015-11-16

Description

Statement of the Problem: Large-area, high-resolution hyperspectral imaging is needed to accurately understand the carbon-cycle between the atmosphere and terrestrial systems. To do this cost-effectively, small UAVs will be needed, for which there are currently no hyperspectral imagers that meet both the performance requirement of DOE and the size/weight requirements for deployment on small UAVs. How the Problem is Being Addressed: A novel imaging spectrometer design that greatly simplifies the fore-optics of push-broom imaging spectrometers will be designed. This approach will provide excellent imaging and large signal-to-noise ratios across the full 350-2500 nm spectral range specified by this topic. Commercial Applications: Commercial applications include pipeline monitoring, invasive weed mapping, and crop-health monitoring. Key Words: hyperspectral, imaging spectrometer Summary for Members of Congress: A compact, high-performance imager that captures far more information than conventional cameras will be developed for small UAVs. This instrument will be useful for understanding the carbon cycle, monitoring pollution events, and it will also have numerous agriculture applications.