SBIR/STTR Research Award

Temperature-Emissivity-Separation TES) with Combined Fluid Flow Hyperspectral Radiation Simulations

Award identifier 456250315f70a5aeddbb1d8cf29caff8754540ee93124b0aebf702308227967fAwarding agency Department of Energy

Award amount

$149,564

Program and phase

SBIR · Phase I

Award year

2015

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Award details

Awarding agency
Department of Energy
Branch
Not reported
Recipient company
THERMOANALYTICS, INC.
Proposal award date
2015-06-08
Contract end date
2016-03-07
UEI
W1XGW9YPELM6
Solicitation number
DE-FOA-0001227
Topic code
01c

Research abstract

An important tool in the regulation and monitoring of nuclear proliferation is remote sensing involving the analysis of thermal hyperspectral images. The hyperspectral radiance of a suspected target can be decomposed separated) into components related to the targets spectral emissions, reflections of its surroundings, and atmospheric effects using Temperature- Emissivity-Separation analysis. This identification of target materials can be frustrated by inaccuracies in the modeling of the radiative environment and in the prediction of target temperatures in complex convection environments. A fluid dynamic-convective heat transfer predictive tool will be developed that can produce fast and accurate temperature predictions. This tool will be combined with a thermal hyperspectral simulation to produce accurate and detailed simulated hyperspectral imagery. For material identification purposes, the simulation tool will produce hyperspectral images for a selection of target materials. The resulting simulated hyperspectral radiances will be matched against the radiance data from measured imagery. To make the identification process flexible and robust, the atmospheric and radiance properties will be retrieved from the simulated images, and this information used in a Temperature-Emissivity-Separation analysis. In Phase I, a prototype of the convection tool will be developed and used to predict convection for a scenario provided by the customer. The thermal and hyperspectral simulation tool will then produce a set of hyperspectral images that will be used to identify target materials using a variety of material-identification algorithms. Development of the enhanced thermal prediction simulation software in Phase I and II will significantly benefit a wide variety of government and commercial remote sensing applications. Combined with the Temperature-Emissivity-Separation software, the ability to monitor nuclear proliferation will be greatly enhanced.

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

59 SBIR/STTR records share this UEI (1997–2025). Reported award amounts total $22,129,177. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Energy

Agency intelligence

Department of Energy

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