Hyperspectral Imaging Sensor Based Feature Aided Tracking

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$98,915.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
W31P4Q-09-C-0561
Award Id:
91881
Agency Tracking Number:
09SB1-0051
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
162 Genesee Street, Utica, NY, 13502
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
111305843
Principal Investigator:
Rober Kapfer
Principal Investigator
(315) 732-7385
kapfer@brsc.com
Business Contact:
Milissa Benincasa
Vice President
(315) 732-7385
benincasa@brsc.com
Research Institution:
n/a
Abstract
The primary objective of this effort is to research and develop advanced algorithms suitable for spectral signature extraction and spectral matching to improve full motion video (FMV) multi-target track longevity and purity. Black River Systems Company proposes a systems level approach to improving and evaluating performance using hyperspectral feature-aided association to achieve greater track lifetime and purity in urban and target-dense environments. Building obscuration, atmospheric effects, and target density and confusion are just some of the real life challenges that this system faces. The system and algorithms must address these challenges while being robust enough to handle the ever evolving camouflage, concealment and deception (CC&D) countermeasures. An end-to-end system model will be utilized to illustrate the combined potential benefits of hyperspectral feature extraction and association, FMV feature aided tracking, and sensor resource management (SRM). Upon completion, Black River Systems Company will outline the critical system components and requirements and illustrate notional system performance for long-term dismount and vehicle tracking in urban environments.

* information listed above is at the time of submission.

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