Hyperspectral Imaging Sensor Based Feature Aided Tracking

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-09-C-0561
Agency Tracking Number: 09SB1-0051
Amount: $98,915.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2009
Solicitation Topic Code: SB091-004
Solicitation Number: 2009.1
Small Business Information
Black River Systems Company, Inc.
162 Genesee Street, Utica, NY, 13502
DUNS: 111305843
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Rober Kapfer
 Principal Investigator
 (315) 732-7385
 kapfer@brsc.com
Business Contact
 Milissa Benincasa
Title: Vice President
Phone: (315) 732-7385
Email: 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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