MSFF: Multi-Spectral Feature Fusion

Award Information
Agency:
Department of Defense
Amount:
$98,334.00
Program:
SBIR
Contract:
FA8750-04-C-0175
Solitcitation Year:
2004
Solicitation Number:
2004.1
Branch:
Missile Defense Agency
Award Year:
2004
Phase:
Phase I
Agency Tracking Number:
B041-011-1546
Solicitation Topic Code:
MDA04-011
Small Business Information
KNOWLEDGE BASED SYSTEMS, INC.
1408 University Drive East, College Station, TX, 77840
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
555403328
Principal Investigator
 Richard Mayer
 Senior Research Scientist
 (979) 260-5274
 rmayer@kbsi.com
Business Contact
 Donielle Mayer
Title: Business Operations Manag
Phone: (979) 260-5274
Email: dmayer@kbsi.com
Research Institution
N/A
Abstract
We propose to build a Multi-Spectral Feature Fusion Framework (MSFF): a framework for fusion of data from Multi-Spectral sensors. The ultimate goal of the proposed solution is to improve the probability of target detection and identification. Two major innovations of the proposed effort are: (i) Composite feature vector that includes diverse features such as shape parameters (area, boundary length, number of edges, etc.), multi-scale texture parameters, moments of the radiance intensity of different orders, radiance energy of the image determined in multi-scale wavelet coefficient domain, and (ii) Innovative approach to closed loop association and classification that will apply machine learning methods to establish "similarity" in the detected features of the object and their "proximity" to a reference entity. The MSFF framework will support the comprehensive lifecycle from data preprocessing to transformation, feature extraction, association, and identification. The Phase I project will develop the concept of operation and algorithms. The algorithms will be tested and analyzed on simulated data using a testbed of physical and engineering models of sensors. The Phase II project will develop and harden software for near-real-time data processing.

* information listed above is at the time of submission.

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