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METHODOLOGY AND TOOLS FOR ALIGNING VECTOR AND IMAGE DATA

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
77507
Program Year/Program:
2006 / SBIR
Agency Tracking Number:
A062-135-0515
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
BKF Systems
2380 Emerick Rd. Cle Elum, WA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2006
Title: METHODOLOGY AND TOOLS FOR ALIGNING VECTOR AND IMAGE DATA
Agency / Branch: DOD / ARMY
Contract: W9132V-07-C-0002
Award Amount: $69,937.00
 

Abstract:

This research addresses the rising critical need for automated conflation of vector/raster data as more and more high resolution data are collected for updates/improvement of graphic products employed in various mission areas of the Army and other user communities. Our conflation methodology derives from the integration of two well-established conflation approaches, and is developed with a preliminary software design in Phase I. Successful testing using Government data will be followed with a Phase II effort wherein we will complete the conflation system design and produce a prototype ready for deployment as a commercial product. Our approach starts with a deep scientific understanding of the complexities/challenges that characterize the conflation problem. We attack the misalignment issues of nonlinearity, disparate scales, uncontrolled noise, etc., on a first principles basis using rigorous mathematics rather than empirical trail and error adjustments that basically distribute the misalignment rather than attack fundamental causes. In developing our integrated methodology, we will establish the synergism achieved by combining two approaches: use of algebraic algorithms and similarity transformation of local features. We establish three fundamental research hypotheses about these complementing approaches, which will be tested and evaluated in order to provide a technical roadmap toward the optimal conflation solution.

Principal Investigator:

Boris Kovalerchuk
Principal Investigator
5098572500
borisk@elltel.net

Business Contact:

Boris Kovalerchuk
President
5098572500
borisk@elltel.net
Small Business Information at Submission:

BKF SYSTEMS
2380 Emerick Rd. Cle Elum, WA 98922

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No