New SVM Hierarchical Classifier Fusion

Award Information
Agency:
Department of Defense
Branch:
Army
Amount:
$749,999.00
Award Year:
2004
Program:
STTR
Phase:
Phase II
Contract:
W911NF-04-C-0099
Agency Tracking Number:
A033-0006
Solicitation Year:
2003
Solicitation Topic Code:
ARMY03-T09
Solicitation Number:
N/A
Small Business Information
MIGMA SYSTEMS, INC.
1600 Providence Highway, Walpole, MA, 02081
Hubzone Owned:
N
Socially and Economically Disadvantaged:
Y
Woman Owned:
Y
Duns:
125933916
Principal Investigator
 Bo Ling
 President & CEO
 (508) 660-0328
 bling@migmasys.com
Business Contact
 Bo Ling
Title: President & CEO
Phone: (508) 660-0328
Email: bling@migmasys.com
Research Institution
 Carnegie Mellon University
 David Casasent
 Department of ECE 5000 Forbes Ave.
Pittsburgh, PA, 15213
 (412) 268-2464
 Nonprofit college or university
Abstract
This Phase II proposal is focusing on further development of our new SVRDM-based ATR technologies, developed in Phase I, with the capability of rejecting non-objects. In particular, we will develop segmentation algorithms to omit clutter around the object, develop methods to handle more thermal variations, develop soft decision hierarchical classifiers for the efficient multi-classifier fusion, and develop methods for learning new aspect views of targets during the system operation. In addition to comparison to other classifiers, we will conduct tests on more databases. Our primary objective of Phase II is the product development. We will develop products that include an industrial PC with interface to IR sensors and spectrometers, and a suite of software programs from data acquisition to target classification. During Phase II, we will develop two products: (1) embedded middleware ATR system aimed at an embedded computing platform, and (2) standalone signature-based spectra classification system. These two products will be used in ATR applications for military and in environmental monitoring for process industry. Algorithms developed in Phase I/II will be implemented in C/C++. Effort will be focused on accuracy, autonomous, speed and efficiency of the system. A detailed sales and marketing business plan will be developed.

* information listed above is at the time of submission.

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