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Hyperspectral Identification for Collaborative Tracking

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
79088
Program Year/Program:
2008 / SBIR
Agency Tracking Number:
F061-218-3046
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Gitam Technologies Inc
9782 Country Creek Way Dayton, OH -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 2008
Title: Hyperspectral Identification for Collaborative Tracking
Agency / Branch: DOD / USAF
Contract: FA8650-08-C-1320
Award Amount: $750,000.00
 

Abstract:

The primary goal of this effort is to develop advanced Hyperspectral Image (HSI) data and algorithms for early detection of plant degradation due to Chemical/Biological agents. During Phase I, proof-of-concept demonstrated that HSI algorithms are capable of detecting de-greening in arabidopsis plants infused with covert de-greening circuits. In Phase II, the major objectives are: (1) Extend genetic engineering towards more operational viability, i.e., subject larger and mature plants to a wider range of chemical and biological agents, (2) Develop advanced Detection/Classification algorithms: multiple-hypothesis detect/ID for multiple plant specimens affected by different chem-bio agents, signature-based temporal change/anomaly detection, kernelization of linear algorithms to account for nonlinearities, ICA-based unmixing of HSI data, genetic algorithm for automated feature extraction, (3) HSI aided Triage resource management for distinguishing live and deceased dismounts in urban calamity region using HSI thermal-IR bands, and (4) Generation of and experimentation with synthetic remote sensing data and analytical prediction models: Incorporate healthy/de-greened plant and human skin spectral reflectance/emissivity signatures within FASSP/DIRSIG modeling environment, add atmospheric/illumination/sensor effects to generate synthetic electro-optical imagery that an airborne sensor might observe from a distance, apply appropriate detect/ID algorithms on the synthetic images, and perform model based sensitivity analysis to explore detection bounds.

Principal Investigator:

William S. McCormick
Senior Scientist
9378859767
william.mccormick@wright.edu

Business Contact:

Arnab K. Shaw
President and Tech Lead
9378859767
gitam13@yahoo.com
Small Business Information at Submission:

GITAM TECHNOLOGIES, INC.
9782 Country Creek Way Dayton, OH 45458

EIN/Tax ID: 200059324
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No