SBIR/STTR Research Award

Advanced Algorithms for Exploitation of Space-Based Imagery

Award identifier fc3b7a558a6477453f4e8ab4e59610a16920e5f77dc00c718a90cee3052376b1Awarding agency Department of Defense · Air Force

Award amount

$96,000

Program and phase

SBIR · Phase I

Award year

2002

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Neural Computing Systems, Llc
Proposal award date
Not reported
Contract end date
Not reported
UEI
Not reported
Solicitation number
Not reported
Topic code
Not reported

Research abstract

"This SBIR will examine the use of hyperspectral mixture models that may be used to create shadow invariant images for material matching and hidden target detection and tracking. This proposal introduces an "Illumination-based Linear Unmixing Procedure"(ILUMP). ILUMP assumes that every image is illuminated by two spectrally different illumination sources and that at each pixel the illumination source may be partly occluded. This is typically the case in outdoor daytime scenes where there is bothsunlight and skylight illumination. The ILUMP formulation requires more sophisticated and computationally expensive model estimation. But this more precise model helps improve the results of applications such as shadow removal and material matching. Theproposed contract would further the development of this model by developing model parameter estimation methods and applications of the proposed technologies. The proposed technologies are applicable to remote sensing applications for environmentalapplications, geological applications, and defense applications. Additionally the techniques may be transferable to color image processing for photo labs, digital cameras, and film studio production and processing."

Technology keywords

Not reported

Agency intelligence

Department of Defense

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