You are here

Hyperspectral Identification for Collaborative Tracking

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8650-06-M-1057
Agency Tracking Number: F061-218-1211
Amount: $100,000.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF06-218
Solicitation Number: 2006.1
Timeline
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-05-05
Award End Date (Contract End Date): 2007-02-05
Small Business Information
Suite A, 75 Aero Camino
Goleta, CA 93117
United States
DUNS: 054672662
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Craig Agate
 Senior Analyst
 (805) 968-6787
 cagate@toyon.com
Business Contact
 Marcella Lindbery
Title: Director of Finance and Contracts
Phone: (805) 968-6787
Email: mlindbery@toyon.com
Research Institution
N/A
Abstract

Many problems exist, particularly in defense and security scenarios, in which long-term tracking of objects is important. Long-term tracking generally requires the use of collected features in order to uniquely identify the object of interest. As conditions under which the features are collected changes, so do the features. While different sensor phenomenologies have been developed to collect feature measurements (i.e., measurements that depend on target attributes such as shape or color), this effort is focused on using dynamically collected features from hyperspectral sensors under changing operating conditions to extend track lifetime. Changing operating conditions preclude the use of a priori feature databases; thus, a feature database that is built “on-the-fly” is required to reliably track vehicles over longer periods. Furthermore, the feature database must be dynamically managed since, as conditions that affect the collected features change, the previously collected features may no longer be used to realiably identify the vehicle. Toyon Research proposes to analyze and statistically model hyperspectral feature data, and develop a feature database management algorithm to accommodate changing operating conditions. Moreover, Toyon will analyze the utility of using hyperspectral signatures and the database management algorithm to extend track life.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government